 Original Article
 Open access
 Published:
Analytical Modelling and Experiment of Novel Rotary ElectroMechanical Converter with Negative Feedback Mechanism for 2D Valve
Chinese Journal of Mechanical Engineering volume 35, Article number: 122 (2022)
Abstract
The manufacturing of spiral groove structure of twodimensional valve (2D valve) feedback mechanism has shortcomings of both high cost and timeconsuming. This paper presents a novel configuration of rotary electromechanical converter with negative feedback mechanism (REMCNFM) in order to replace the feedback mechanism of spiral groove and thus reduce cost of valve manufacturing. In order to rapidly and quantitative evaluate the driving and feedback performance of the REMCNFM, an analytical model taking leakage flux, edge effect and permeability nonlinearity into account is formulated based on the equivalent magnetic circuit approach. Then the model is properly simplified in order to obtain the optimal pitch angle. FEM simulation is used to study the influence of crucial parameters on the performance of REMCNFM. A prototype of REMCNFM is designed and machined, and an exclusive experimental platform is built. The torqueangle characteristics, torquedisplacement characteristics, and magnetic flux density in the working air gap with different excitation currents are measured. The experimental results are in good agreement with the analytical and FEM simulated results, which verifies the correctness of the analytical model. For torqueangle characteristics, the overall torque increases with both current and rotation angle, which reaches about 0.48 N·m with 1.5 A and 1.5°. While for torquedisplacement characteristics, the overall torque increases with current yet decrease with armature displacement due to the negative feedback mechanism, which is about 0.16 N·m with 1.5 A and 0.8 mm. Besides, experimental results of conventional torque motor are compared with counterparts of REMCNFM in order to validate the simplified model. The research indicates that the REMCNFM can be potentially used as the electromechanical converter for 2D valves in civil servo areas.
1 Introduction
Servo valves have functions of both electromechanical energy conversion and signal amplification, which, to a great extent, determines overall performance of electrohydraulic control system itself [1,2,3,4]. The electrohydraulic servo valve can be divided into direct acting type and pilot operated type. The former features simple structure and good antipollution ability, but the main disadvantage is that the driving force of the electromechanical converter is limited, which is not suitable for high pressure and large flow situation [5,6,7]. In order to overcome the Bernoulli force and obtain the ideal static and dynamic characteristics, servo valve usually need to be designed as a multistage structure with pilotoperated mechanism. Typical pilotoperated servo valves include nozzle flapper valve, jet pipe valve, voice coil servo valve, twodimensional valve, etc. The nozzle flapper valve has complex structure, high processing and assembly accuracy, and poor antipollution ability owing to pilot control stage structure [8,9,10]; The jet pipe valve has excellent antipollution ability, but the jet characteristics are not easy to be predicted [11, 12]; The moving coil servo valve has a large volume, and the power to weight ratio is not ideal, which is mainly used in industrial servo occasions.
Twodimensional valve (2D valve), firstly proposed by Ruan in 1989, is a novel pilotoperated valve based on the principle of hydraulic servoscrew mechanism, whose spool moves in both horizontal and rotary motion, and the two movements are in a fixed proportional relationship similar to mechanical screw [13,14,15]. Unlike other servo valves, this valve integrates the separated pilot stage and power stage onto one single spool, and has no tiny hole or slot structure that is liable to be blocked like nozzle flapper valve. Therefore, it possesses advantages of extremely simple structure and excellent antipollution capability [16, 17]. Recently it has been used in military, aerospace, construction machinery and other mobile hydraulic applications where high power to weight ratio is being put for priority. However, 2D valve requires manufacturing of special and complicated geometric features such as the spiral groove on valve sleeve. And it usually requires EDM (electricaldischarge machining) machine tool with at least three axes, which is not only expensive but also time consuming. This shortcoming greatly influences the further promotion of 2D valve for industry servo area that is more sensitive to cost and relatively less sensitive to performance [18]. Therefore, necessary structural changes need to be considered in order to reduce machining cost.
One of the feasible ways is to integrate the feedback function into the electromechanical converter (EMC) so that the complicated spiral groove might be simplified. 2D valve needs a rotary electromechanical converter (REMC) to rotate spool firstly in order to actuate the socalled “2D” mechanism. Based on different operation principle, the REMCs can be divided into voice coil motor (VCM), torque motor and rotary proportional solenoid (RPS). The VCM features high linearity, large stroke, and excellent dynamic characteristics with large currents [19, 20]. Nevertheless, large currents cause serious heating problem, which usually requires additional cooling measures. For example, for the moving coil servo valve used by Hitachi for steel rolling equipment the compressed air is used for forcible heat dissipation. In order to reduce the excitation level, Wu et al. proposed a novel VCM where a Halbach array is designed to improve flux density of working air gap [21]. The RPS was originated from its linear counterpart which features flat torqueangle characteristics. It has large thrust force and is easy to be designed as a “wet type” actuator with highpressure oil resistant ability [22, 23]. The difficulties for design of RPS lie that there is no such a general approach like welding a magnetic isolation ring to obtain proportional control features. Several studies have been conducted on novel magnetic circuit topology and parameter optimization to achieve the flat torque–angle curve [24]. Torque motor has advantages of high control accuracy and fast dynamic response, which has been widely used as EMC of several servo valves including nozzleflapper valve, jet pipe valve and deflector jet pipe valve. However, it has shortcomings of having some precise mechanical and electrical parts, which actually sacrifice simplicity, setup and manufacturing costs. Zhang et al. proposed a novel torque motor with hybridmagnetization pole arrays, whose output torque can be increased by range of 47%‒52% compared with traditional designs, while maintaining the original size [25]. In order to solve selfexcited oscillation issue of servo valve, Li et al. added magnetic fluid into the working air gap of torque motor and found that magnetic fluids can improve the stability of torque motor and the dynamic response of the whole valve [26, 27]. For actual situation the torque motors might have unequal air gaps due to production errors. Urata studied the influence of such unequal thickness on the output torque of torque motor [28]. Liu et al. proposed a novel analytical model counting the influence of magnetic reluctance of magnetic elements on torque motor that could provide reference for the controller design of servo valve [29]. Recently, functional materials such as piezoelectric crystal [30], giant magnetostrictive material [31], magnetorheological fluid and shape memory alloy are adopted as EMC by some novel servo valves [32, 33], which usually possess extremely fast dynamic characteristics. However, these materials are liable to be influenced by temperature variation and nonlinear hysteresis. Also, they depend on the material deformation to obtain the displacement, which makes them more suitable for linear EMC.
So far, all valve EMCs in the existing literatures only have single function to drive armature (mover) to move. EMC with both driving and feedback mechanisms has not been reported yet. This paper presents a novel REMC integrated with negative feedback mechanism (REMCNFM) in order to replace the feedback mechanism of spiral groove of traditional 2D valve. The advantage of such arrangement is that a simple rectangular sensing groove can be used to replace the complicated spiral sensing groove, which can greatly reduce manufacturing cost.
The rest of this paper is organized as follows: In Section 2, the configuration and working principle of REMCNFM is introduced. In Section 3, an accurate analytical model of the REMCNFM is established by using the equivalent magnetic circuit method with consideration of magnetic leakage effect, edge effect and permeability nonlinearity. Then the model is properly simplified in order to obtain the optimal pitch angle. In Section 4, FEM simulation is used to study the influence of crucial parameters on the performance of REMCNFM. In Section 5, a prototype of the REMCNFM is designed and manufactured, and a special experimental platform is built to measure its torqueangle and torquedisplacement characteristics, and also magnetic flux density in the air gaps. The experimental results are then compared with both analytical results and FEM simulation. In Section 6, experimental results of conventional torque motor are compared with counterparts of REMCNFM in order to validate the simplified model. Finally, some conclusions of this work are drawn in Section 7.
2 Structure and Working Principle
Figure 1 shows the structure of REMCNFM which is composed of left and right yokes, left and right control coils, upper and lower permanent magnets (PM) and armature. Both the yoke and the armature are made of soft magnetic material DT4. The upper and lower PMs are respectively installed in the grooves of the left and right yokes, the control coils are respectively wound on the outer sides of the left and right yokes, and the armature is located in the middle of the REMCNFM. The two sides of the armature are designed as inclined wing surfaces, which are centrally symmetrical about the rotating shaft. The angle between the wing surface of armature and the axial direction is defined as the pitch angle \(\beta\), which is also the same as the angle of pole shoe surface of the yoke. When assembled, the armature inclined wing surface and the pole shoe surface of the yoke are parallel to each other, which forms four working air gaps with the same height.
The magnetic circuit diagram of REMCNFM is shown in Figure 2. When the coil is not energized, the armature is in the middle position. All the air gap heights are equal to \(g\) and the REMCNFM has no output torque. When the coil is energized in the direction shown in the Figure 2, the polarized magnetic flux \({\phi }_{\mathrm{g}}\) (blue line) generated by the PMs and the control magnetic flux \({\phi }_{\mathrm{c}}\) (red line) generated by the control coils are superimposed on each other in the four working air gaps. The magnetic flux at the air gap \({g}_{1}\) and \({g}_{3}\) is enhanced, and the magnetic flux at the air gap \({g}_{2}\) and \({g}_{4}\) is weakened. Therefore, an output torque is generated to drive the armature to rotate. Besides, REMCNFM also has a special negative feedback mechanism, which can be clarified by force analysis in Figure 3. When the armature rotates by the angle \(\theta\), the air gap height changes, therefore the output force \(F\), its circumferential component force \({F}_{\mathrm{d}}\) and axial component force \({F}_{\mathrm{z}}\) all increase. And \({F}_{\mathrm{d}}\) generates a driving torque \({T}_{\mathrm{d}}\) to drive the armature to rotate. At this time, if an external force \({F}_{\mathrm{e}}\) such as hydraulic force exists to pull the armature to move with an axial displacement \(z\) according to the direction shown in Figure 3, the air gap height would be varied again and \(F\) will be reduced, which makes the armature to be acted by a torque \({T}_{\mathrm{r}}\) having the opposite direction with \({T}_{\mathrm{d}}\). Thus, the armature will rotate in the opposite direction until it returns the initial position, so as to realize the negative feedback of forcedisplacement.
Figure 4 shows the novel 2D valve where REMCNFM is used as EMC. There are small highpressure hole and lowpressure hole machined on left spool land, which are connected to the oil supply and oil tank, respectively. There is a straight groove machined on internal surface of sleeve which is connected to sensitive chamber. The oil supply pressure \({P}_{\mathrm{s}}\) is led to highpressure hole and highpressure chamber through hole a and hole b. In the equilibrium position highpressure hole and lowpressure hole are located on the two sides of straight groove and constitute two tiny overlapping openings, which forms a halfhydraulic resistance bridge. The output pressure of resistance bridge is then ported to the sensitive chamber. Neglecting Bernoulli’s force and friction force and set the area of sensitive chamber as twice as that of highpressure chamber, the spool can be in a hydrostatic force balance. When REMCNFM is electrified, the spool also rotates with the armature, and this rotary motion varies the two overlapping openings differentially, which leads to the variation of sensitive chamber pressure. Then the hydrostatic force acting across the spool loses balance and spool begins to move axially. Due to this axial external force (\({F}_{\mathrm{e}}\) in Figure 3) and the slope design of armature, the working air gaps also varies with spool axial movement, which results in an additional negative feedback torque (\({T}_{\mathrm{r}}\) in Figure 3) to drive armature and spool rotate reversely until the working air gaps return to initial value and the overlap area of highpressure hole and lowpressure hole also return to the state symmetrical to the straight groove, which reestablish the spool force balance. In essence, such design scheme has a forcedisplacement feedback characteristic. For comparison, Figure 5(b) gives schematic of 2D valve driven by conventional torque motor. It can be seen in Figure 5(a) that with proposed REMCNFM, the spiral groove can be replaced by a straight groove.
3 Analytical Modelling
3.1 PM Modelling
Figure 6 shows the equivalent magnetic circuit model of the PM, which has a magnetization direction sectional area of \({A}_{\mathrm{m}}\) and a magnetization direction length of \({l}_{\mathrm{m}}\). Figure 7 illustrates the demagnetization curve of PM, where \({K}_{\mathrm{w}}\) is the working point of the PM, \(\alpha\) is the angle between the demagnetization curve and the \(H\)axis, \({B}_{\mathrm{r}}\) is the residual magnetic flux density, \({H}_{\mathrm{c}}\) is the coercive force. The working coercive force \({H}_{\mathrm{m}}\) and the working magnetic flux density \({B}_{\mathrm{m}}\) corresponding to the \({K}_{\mathrm{w}}\) will vary with the variation of the working state.
When the working point \({K}_{\mathrm{w}}\) is on the demagnetization curve, the slope of the demagnetization curve represents the permeability \({\mu }_{\mathrm{m}}\), which can be written as:
The relationship between the working coercive force \({H}_{\mathrm{m}}\) and working magnetic flux density \({B}_{\mathrm{m}}\) corresponding to the \({K}_{\mathrm{w}}\) can be written as:
The relationship between \({B}_{\mathrm{m}}\) and the magnetic flux generated by the PM \({\phi }_{\mathrm{m}}\) can be written as:
Therefore, the relationship between \({H}_{\mathrm{m}}\) and \({B}_{\mathrm{m}}\) can be rewritten as:
After multiplying the length of magnetization direction \({l}_{\mathrm{m}}\) on both sides, we can get:
where \(M\) is the magnetic potential generated by the PM; \({F}_{\mathrm{m}}\) is the magnetic potential provided to the external magnetic circuit; \({R}_{\mathrm{m}}\) is the internal magnetic reluctance of the permanent magnet. They can be calculated by the following formula:
Therefore, Eq. (5) can be rewritten as:
Equation (8) demonstrates that the magnetic potential of PM is divided into two parts: One is the magnetic potential of the external magnetic circuit; The other is the internal magnetic potential drop of the PM.
3.2 Air Gap Reluctance Modelling
Since the permeability of air is much smaller than that of soft magnetic materials, the change of air gap reluctance will have a huge impact on the entire magnetic circuit. In order to obtain an accurate analytical model, an accurate air gap reluctance model is essential. When the magnetic flux flows through the air gap, a diffusion phenomenon occurs. A part of the magnetic flux flows through the edge of the magnetic pole face along other path, which can be called as the edge effect. Although this part of the magnetic flux is not huge, it still produces a nonnegligible error, which shall be considered into the model. As shown in Figure 8, the path of the magnetic flux flowing through the air gap can be divided into several different magnetic flux tubes for calculation.
The air gap reluctance considering the edge effect is calculated by the magnetic field division method [34], where the corresponding magnetic flux tube reluctance formula is shown in Table 1.
The magnetic reluctance calculation result of each magnetic flux tube is shown in Table 2.
For the scattered magnetic field of free space, \(m\)=(1~2)\(n\), here \(m\)=1.1 \(n\), \({L}_{\mathrm{g}1}\) is the air gap length, \({L}_{\mathrm{g}2}\) is the air gap width, therefore the working air gap reluctance \({R}_{\mathrm{xg}}\) considering the edge effect is obtained as:
Figure 9 shows the calculated variation of air gap reluctance with air gap displacement \(x\) both under the situation with and without edge effect. It can be clearly seen that \({R}_{\mathrm{xg}1}\) and \({R}_{\mathrm{xg}2}\) are both smaller than \({R}_{\mathrm{x}1}\) and \({R}_{\mathrm{x}2}\), which proves the necessity of considering the edge effect in order to have an accurate analytical model.
3.3 Equivalent Magnetic Circuit Modeling
For the traditional equivalent magnetic circuit modelling, the leakage flux generated by the PMs and the control coils is usually ignored. In order to improve the accuracy of the analytical model of REMCNFM, magnetic leakage effect needs to be considered. Since the leakage flux \({\phi }_{\mathrm{L}1}\) and \({\phi }_{\mathrm{L}2}\) generated by the PMs and the control coils is difficult to be calculated, we unify the paths of the leakage flux and connect them in parallel with the PMs and the control coils in magnetic circuit, as shown in Figure 10. Therefore, \({\phi }_{\mathrm{L}1}\) and \({\phi }_{\mathrm{L}2}\) can be expressed as:
where \(\gamma\) represents the flux utilization of PM, and \(\delta\) represents the flux utilization of control coil. Finally, the whole equivalent magnetic circuit diagram of the REMCNFM is shown in Figure 10. The black solid line represents the magnetic circuit, the rounded rectangle represents the magnetic reluctance, and the arrow represents the direction of the magnetic flux. The purple dashed box contains all the air gap magnetic reluctance considering the edge effect, and the blue dashed box contains the same type of magnetic flux tubes.
Using Kirchhoff’s Current Law (KCL), the magnetic flux relationship of each node in Figure 10 can be written as:
Using Kirchhoff’s Voltage Law (KVL), the magnetic flux relationship of each closed loop in Figure 10 can be written as:
where
Under normal circumstances, four air gaps are considered as ideal whose height are completely equal when REMCNFM is not electrified. Then the magnetic reluctance of the armature and the yoke can be written as:
where \({R}_{\mathrm{ar}}\) represents the magnetic reluctance of the armature, \({R}_{\mathrm{yp}}\) and \({R}_{\mathrm{yc}}\) represent the magnetic reluctance at the yoke pole shoe and the yoke coil respectively; \({\mu }_{1}\) is the permeability of the armature, and \({\mu }_{2}\) is the permeability of the yoke.
3.4 Nonlinear Permeability Modelling
In REMCNFM, both the yoke and the armature are soft magnetic material DT4, and its permeability \(\mu\) is not fixed and will be influenced by both the magnetic flux density \(B\) and the magnetic field intensity \(H\). In order to obtain accurate permeability, the nonlinearity of permeability needs to be considered. For DT4, the relationship between \(B\) and \(H\) can be expressed as
where \({a}_{0}=1.486\), \({b}_{0}=2.101\times {10}^{5}\), \({c}_{0}=1.482\), \({d}_{0}=0.007419\). Therefore, a continuous \(B\)\(H\) curve can be obtained and iteration based on the \(B\)\(H\) curve can be performed, as shown in Figure 11. The specific iteration steps are shown in Figure 12, where \(\it \Delta\) is the solution accuracy and \(\tau\) is the iteration step size. Since the \(B\) and \(H\) of the armature and the yoke are different, the permeability is also different, it is necessary to repeatedly iterate to obtain the accurate values of the permeability of the armature and the yoke.
3.5 Torque Calculation
Combining Eqs. (12)‒(15), the detailed expressions of the total magnetic flux \({\phi }_{1}\) on the strengthening side and the total magnetic flux \({\phi }_{2}\) on the weakening side of the working air gaps can be written as:
Through calculation, the main flux \({\phi }_{\mathrm{x}1}\) on the strengthening side and the main flux \({\phi }_{\mathrm{x}2}\) on the weakening side of the working air gaps can be written as:
Thus, the magnetic flux density \({B}_{1}\) on the strengthening side and the magnetic flux density \({B}_{2}\) on the weakening side of the working air gaps can be obtained:
According to Maxwell’s electromagnetic force formula, the singleside output force can be obtained:
where \({F}_{1}\) and \({F}_{2}\) are the electromagnetic output force on the magnetic flux strengthening side and weakening side, respectively. Multiplying with the force arm \(a\), the resulting torque \(T\) can be obtained:
Substituting Eqs. (6), (9), (10), (12)‒(15), (17)‒(20) into Eqs. (21)‒(24), the precise formulas of magnetic flux density and torque can be obtained. For simplification, these formulas are attached and referred as Eqs. (48)‒(50) in the Appendix, which will be used for analytical calculation.
3.6 Model Simplification
The abovediscussed analytical model has advantages of rapid and accurate calculation in the predesign stage. However, it is too complicated to be used for qualitative analysis. In order to perform qualitative analysis and find optimal pitch angle. The abovediscussed analytical model is further simplified in this part. Referring to Figure 9, the curves of variation of magnetic reluctance can be fitted to linear lines, which can be written as:
The polarized magnetic flux \({\phi }_{\mathrm{g}}\) generated by the PMs and the control magnetic flux \({\phi }_{\mathrm{c}}\) generated by the control coils are respectively written as:
From Eq. (12), we can have:
Substituting Eq. (28) into Eq. (13), we can get:
Substitute Eqs. (26) and (27) into the above formulas, we can have:
Based on Eqs. (31) and (32), the total magnetic flux \({\phi }_{1}\) and \({\phi }_{2}\) of the working air gaps can be rewritten as:
where
The main magnetic flux \({\phi }_{\mathrm{x}1}\) and \({\phi }_{\mathrm{x}2}\) can be expressed as:
\({R}_{\mathrm{g}}\) represents the main air gap magnetic reluctance at the initial position, and \({R}_{\mathrm{gl}}\) represents the entire air gap magnetic reluctance considering the edge effect at the initial position. Also we can have:
Substituting the above formulas into Eq. (23), we can have:
For actual situation, the REMCNFM’s working angle can be very small, and when the angle is extremely small, \(\mathrm{sin}\theta =\Delta x/a=\theta\), therefore, \(\Delta x=a\theta\). And because the air gap height in the model is calculated perpendicular to the air gap magnetic pole surface, it is necessary to convert the rotation angle \(\theta\) and axial displacement \(z\) into a displacement perpendicular to the air gap surface. Thus, the air gap displacement \(x\) can be written as
Substituting Eq. (40) into Eq. (39), it yields:
where
Since the air gap displacement x is much smaller than the air gap height \(g\), \({k}^{2}{x}^{2}\ll 1\). Thus, Eq. (41) can be further simplified as:
Equation (40) can be rewritten as:
where \({K}_{\mathrm{t}}\) is defined as electromagnetic torque coefficient; \({K}_{\mathrm{mr}}\) is defined as rotary magnetic spring stiffness; \({K}_{\mathrm{ml}}\) is defined as linear magnetic spring stiffness. \({K}_{\mathrm{t}}\), \({K}_{\mathrm{mr}}\) and \({K}_{\mathrm{ml}}\) can be expressed as
Equation (44) clearly illustrates that the torque equation of REMCNFM contains three terms, where the first term \({K}_{\mathrm{t}}i\) is the electromagnetic torque produced by the control current when the armature is in the neutral position; the second term \({K}_{\mathrm{mr}}\theta\) is the additional electromagnetic torque generated by the armature rotation; the last term \({K}_{\mathrm{ml}}z\) is the additional electromagnetic torque generated by the armature linear displacement. Finally, it should be noted that the minus sign before the last \({K}_{\mathrm{ml}}z\) indicates that the direction of driving torque and feedback torque shall be opposite.
3.7 Optimal Pitch Angle \({\varvec{\beta}}\)
The design of REMCNFM needs to take both driving and feedback performance into account. Based on Eq. (45), the influence of \(\beta\) on \({K}_{\mathrm{t}}\), \({K}_{\mathrm{mr}}\) and \({K}_{\mathrm{ml}}\) can be graphed, as shown in Figure 13. It can be found that \(\beta\) has different influence on these three coefficients. For \({K}_{\mathrm{t}}\) and \({K}_{\mathrm{mr}}\), they keep decreasing with the increase of \(\beta\). For \({K}_{\mathrm{ml}}\), it increases firstly and then decreases with the increase of \(\beta\). Both the term \(\mathrm{sin}2\beta\) of Eq. (45) and Figure 13 reveal that \({K}_{\mathrm{ml}}\) reaches the maximum valve when \(\beta\) is 45°. Therefore, choosing \(\beta\) as 45° is the optimal solution in order to maximize the feedback performance.
4 FEM Simulation
4.1 Simulation Verification
In order to improve and verify the accuracy of the analytical model, a FEM model is established using Ansoft/Maxwell software. Figure 14 shows the magnetic flux line distribution of REMCNFM on different sections. It can be seen that both the PMs and the control coils have obvious magnetic leakage phenomenon, and there is a scattered magnetic flux at the working air gaps. This confirms the necessity of considering magnetic leakage effect and edge effects. Besides, in order to provide reference for determination of the PM flux utilization \(\gamma\) and control coils flux utilization \(\delta\), the magnetic flux lines generated by the PMs and the control coils passing through the air gaps are counted separately, and then compared with the total magnetic flux lines. For example, as shown in Figure 14(c), it can be measured that the ratio of the magnetic field lines of the PMs passing through the air gaps to the total number of the lines is 8:17, thus \(\gamma\) =0.47. By varying the current and the density of magnetic flux lines, more accurate coefficient values can be obtained, which will be given later on.
4.2 Parameters Optimization
Some crucial parameters have an important influence on the characteristics of REMCNFM. In this part, three parameters, i.e., number of coil turn \({N}_{\mathrm{c}}\), air gap height \(g\) and pitch angle \(\beta\), are selected for simulation design optimization.
The analysis and simulation comparison curves of the influence of \(g\) on the torque are shown in Figure 15. The analytical results and FEM simulated results are very close. In Figure 15(a), the torque reaches 0.190, 0.165, 0.144, 0.126 and 0.112 N·m when the angle is 0.6°. In Figure 15(b), when the displacement is 0.6 mm, the torque reaches −0.002, 0.005, 0.009, 0.013 and 0.015 N·m. Therefore, reducing \(g\) can improve both driving and feedback characteristics.
The analysis and simulation comparison curves of the influence of \({N}_{\mathrm{c}}\) are shown in Figure 16. In Figure 16(a), the torque reaches 0.053, 0.167, 0.287, 0.396 and 0.449 N·m when the angle is 0.9°. In Figure 16(b), when the displacement is 0.6 mm, the torque reaches − 0.109, 0.009, 0.114, 0.203 and 0.251 N·m. Therefore, increasing \({N}_{\mathrm{c}}\) can improve both driving and feedback characteristics. When \({N}_{\mathrm{c}}\) reaches above 600, the simulated value tends to be lower than the analytical value. This is because the excessive \({N}_{\mathrm{c}}\) cause magnetic saturation. Therefore, appropriate value of \({N}_{\mathrm{c}}\) should be selected.
The analysis and simulation comparison curves of the influence of the \(\beta\) on the torque are shown in Figure 17. As shown in Figure 17(a), increasing \(\beta\) will reduce the driving torque. When the rotation angle is 0.6°, the torque reaches 0.076, 0.071, 0.056, 0.035, 0.018, 0.004 and 0 N·m, respectively. As shown in Figure 17(b), the absolute value of torque first increases and then decreases, which reaches the maximum when \(\beta\) is 45°, and returns to 0 N·m when \(\beta\) is 90°. This result is consistent with the analytical analysis of Section 3.6, which further verifies the accuracy of the simplified model. When the displacement is 0.6 mm, the torque reaches 0, − 0.053, − 0.094, − 0.109, − 0.104, − 0.064 and 0 N·m, respectively. Finally, based on the analytical modelling and FEM optimization, the main design parameters for prototype of REMCNFM can be determined, as listed in Table 3.
5 Experiment
In order to further verify the analytical model and FEM simulation results, prototype of REMCNFM is manufactured and an experimental platform is built, as shown in Figures 18 and 19, respectively. The experimental platform mainly includes DC power supply, torque sensor, controller, Gauss meter, linear and rotary micrometer. In order to measure the torqueangle and torquedisplacement characteristic curve of REMCNFM, the linear and rotary micrometer are used and can be replaced with each other to vary the relative angle and displacement between the yoke and the armature, as shown in Figure 20. The armature is fixedly connected to the torque sensor through the shaft and coupling, and the yoke is fixedly connected to the rotary or linear micrometer through the fixed plate. The micrometer can be adjusted manually, so that the output torque of REMCNFM at any position of armature can be measured. Change the current and repeat the experiment, the torque characteristic curve can be obtained. The Gauss meter is used to measure the magnetic flux density of the working air gap at the corresponding position.
5.1 TorqueAngle Characteristics
Torqueangle characteristics are measured when the current \(i\) is 0, 0.5, 1 and 1.5 A, respectively. The results are then compared with analytical and FEM simulated counterparts, as shown in Figure 21. Table 4 summarizes the results comparison. It can be seen that with the increase of current and rotation angle, the torque presents an increasing trend, which is consistent with the analysis of \({K}_{\mathrm{t}}i\) and \({K}_{\mathrm{mr}}\theta\) in Eq. (44). Besides, the analytical, FEM simulated and experimental results are in good agreement, which verifies the accuracy of analytical model of REMCNFM. When \(i\)=1.5 A and \(\theta\)=1.5°, the analytical, FEM simulated and experimental results are 0.482, 0.476, and 0.480 N·m, respectively.
Magnetic flux densities are also measured when the current \(i\) is 0, 0.5, 1 and 1.5 A, respectively. The results are then compared with analytical and FEM simulated counterparts, as shown in Figure 22. Table 5 summarizes the magnetic flux density \({B}_{1}\) on the strengthening side and the magnetic flux density \({B}_{2}\) on the weakening side. In the initial position, due to the symmetrical arrangement of the PMs, the same magnitude of magnetic flux exists in all air gaps without electricity. As the rotation angle increases, \({B}_{1}\) increases and \({B}_{2}\) decreases, and as the current increases, the difference between \({B}_{1}\) and \({B}_{2}\) gradually increase. When \(i\) = 1.5 A and θ = 1°, the analytical, FEM simulated and experimental results of \({B}_{1}\) are 0.335, 0.329 and 0.312 T, respectively. And the counterparts of \({B}_{2}\) are −0.030_{,} −0.045 and −0.022 T, respectively. The differential variation of \(B\) again validates the working principle of REMCNFM discussed previously. Besides, there is a difference between analytical and experimental results of \({B}_{2}\), which is more obvious when the current increases. The reason for this may be lies in two aspects: one is the unpredictable measuring errors since the region of working air gap is quite small; The other is the possibility of uneven texture of DT4 materials.
5.2 TorqueDisplacement Characteristics
In order to validate the feedback mechanism of REMCNFM, the torquedisplacement characteristics are measured by experiments when the current \(i\) is 0, 0.5, 1 and 1.5 A, respectively. The results are then compared with analytical and FEM simulated counterparts, as shown in Figure 23. Table 6 summarizes the results comparison. It can be seen that with the increase of armature displacement, the feedback torque increases. Note that here the measured torque is the sum of driving torque and feedback torque. Since the direction of driving torque and feedback torque is opposite, the measured overall torque is influenced by the increasing feedback torque and thus presents a downward trend, which is consistent with the analysis of \({K}_{\mathrm{ml}}z\) in Eq. (44). When \(i\) = 1.5 A, \(z\) = 0.8 mm, the torque is 0.181, 0.178 and 0.163 N·m, respectively. Besides, the analytical, FEM simulated and experimental results are in good agreement, which verifies the accuracy of analytical model of REMCNFM.
Magnetic flux density is measured again with the variation of current and armature displacement. The results are then compared with analytical and FEM simulated counterparts, as shown in Figure 24. Table 7 summarizes the magnetic flux density \({B}_{1}\) on the strengthening side and the magnetic flux density \({B}_{2}\) on the weakening side. Increase of displacement reduces \({B}_{1}\) and increases \({B}_{2}\). When \(i\) = 1.5 A and \(z\) = 0.6 mm, the analytical, FEM simulated and experimental results of \({B}_{1}\) are 0.237, 0.235 and 0.216 T, respectively. And the counterparts of \({B}_{2}\) are 0.015, 0.021 and 0.024 T, respectively. Besides, the analytical, FEM simulated and experimental results are in good agreement, which also verifies the accuracy of analytical model of REMCNFM.
6 Further Discussion
The idea of REMCNFM was originated from the conventional torque motor, where the significant structure difference lies in the pitch angle \(\beta\). For torque motor, \(\beta =0\), therefore it has no feedback ability and only has driving function. Eqs. (44) and (45) are also suitable for the torque motor, which can be written as:
In order to validate the correctness of Eqs. (44) and (45) in Section 3.6, and also explore the relationship between the REMCNFM and conventional torque motor, the prototype of torque motor which has the same dimensions as REMCNFM is manufactured, as shown in Figure 25. Experiment of torqueangle characteristics of torque motor are performed. And the results are compared with counterparts of REMCNFM, as shown in Table 8. When the current is 1 A and the rotation angle is 0°, the theoretical ratio of the output torques between these two EMCs is 0.707, while the experimental ratio is 0.748, where the difference is 5.5%. When the current is 0 A and the rotation angle is 0.6°, the theoretical ratio of the output torques between these two EMCs is 0.45, and the experimental ratio is 0.429, where the difference is 14.2%. This conclusion basically conforms to the qualitative analysis of \({K}_{\mathrm{t}}i\) and \({K}_{\mathrm{mr}}\theta\) in Eqs. (44) and (45), which validates the correctness of these formulas.
7 Conclusions

(1)
In order to replace the feedback mechanism of spiral groove and thus reduce cost of valve manufacturing, this paper presents a novel configuration of rotary electromechanical converter with negative feedback mechanism (REMCNFM).

(2)
To rapidly and quantitative evaluate the driving and feedback performance, an accurate analytical model of REMCNFM is proposed, which takes the magnetic leakage effect of PMs and control coils, the edge effect of the air gaps, and the nonlinearity of permeability into account. The experimental results are used to validate the analytical results, which verifies the correctness of the analytical model.

(3)
For qualitative analysis the analytical model is properly simplified, which shows that the torque of REMCNFM consists of three parts those are related to current, armature rotation and armature displacement, respectively. Based on simplified model, the optimal pitch angle of REMCNFM is obtained.

(4)
The prototype of REMCNFM is manufactured and relevant experiments are performed. For torqueangle characteristics, the overall torque increases with both current and rotation angle, which reaches about 0.48 N·m with 1.5 A and 1.5°. While for torquedisplacement characteristics, the overall torque increases with current yet decrease with armature displacement due to the feedback mechanism, which is about 0.16 N·m with 1.5 A and 0.8 mm.

(5)
Experiment of torqueangle characteristics of torque motor are performed. And the results are compared with counterparts of REMCNFM. This conclusion basically conforms to the qualitative analysis of \({K}_{\mathrm{t}}i\) and \({K}_{\mathrm{mr}}\theta\) in Eqs. (44) and (45), which validates the correctness of these formulas.

(6)
The research indicates that the REMCNFM can be potentially used as the electromechanical converter for 2D valves in civil servo areas. In the future research, the REMCNFM needs to be connected with 2D valve body, therefore the whole valve characteristics can be explored.
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Acknowledgements
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Funding
Supported by National Natural Science Foundation of China (Grant Nos. 51975524, 51405443) and National Key Research and Development Program of China (Grant No. 2019YFB2005200).
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BM, JR and CD were in charge of the whole paper; Dr. BM wrote the manuscript; MD was in charge of analysis modelling and experiments. CHZ and CCZ was in charge of FEM simulation. All authors read and approved the final manuscript.
Authors’ Information
Bin Meng, born in 1979, is currently an associate professor and a PhD candidate supervisor at College of Mechanical Engineering, Zhejiang University of Technology, China. He received his PhD degree from Zhejiang University of Technology, China, in 2013. His main research interests include electromechanical converters, fluid power transmission and control, and novel hydraulic components.
Mingzhu Dai, born in 1997, is currently a master candidate at Zhejiang University of Technology, China.
Chenhang Zhu, born in 1997, is currently a master candidate at Zhejiang University of Technology, China.
Chenchen Zhang, born in 1996, is currently a master candidate at Zhejiang University of Technology, China.
Chuan Ding, born in 1986, is currently a lecturer and a MSc candidate supervisor at College of Mechanical Engineering, Zhejiang University of Technology, China. His main research interests include mechatronics engineering, fluid power transmission and control, ocean engineering.
Jian Ruan, born in 1963, is a professor and a PhD candidate supervisor at College of Mechanical Engineering, Zhejiang University of Technology, China. He received his PhD degree from Harbin Institute of Technology, China, in 1989. His main research interests include fluid power transmission and novel hydraulic components.
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Appendix
Appendix
Substituting Eqs. (6), (9), (10), (12)‒(15), (17)‒(20) into Eq. (21), the magnetic flux density B_{1} on the magnetic flux strengthening side and the magnetic flux B_{2} on the magnetic flux weakening side can be obtained:
Substituting Eqs. (47) and (48) into Eq. (23) can get the output torque T:
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Meng, B., Dai, M., Zhu, C. et al. Analytical Modelling and Experiment of Novel Rotary ElectroMechanical Converter with Negative Feedback Mechanism for 2D Valve. Chin. J. Mech. Eng. 35, 122 (2022). https://doi.org/10.1186/s10033022007843
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DOI: https://doi.org/10.1186/s10033022007843