Table 6 Overview of close-loop motion control
Control objective | Representative | Control description | Control objective | Representative | Control description |
|---|---|---|---|---|---|
Speed control | Verma [243] | SMC based on data-driven model | Attitude control | J Yuan [235] | SMO-based heading control |
X F Li [244] | Iterative learning control method | Path tracking | J Pan [247]; S Du [248] | Target point is first obtained by LOS method and is then transformed to an offset rotation angle by fuzzy-linear model | |
T Yuan [245] | A Kalman filter based force-feedback control | J Z Yu [239] | A point-to-point control algorithm and real-time visual feedback | ||
Depth control | F Shen [233] | Fuzzy PID control | Kopman [204] | System input is the servomotor angle and a PID algorithm is implemented | |
P F Zhang [246] | TSOV-NMPC algorithm | R Wang [249] | ADRC strategy is used to reduce the system uncertainty | ||
J Z Yu [234] | Sliding-mode fuzzy control | R Wang [250] | BS technique and LOS method are integrated | ||
L Zhang [232] | Fuzzy logic control | Target tracking | Y H Hu [240] | Proportional feedback control | |
Attitude control | R Y Tian [238] | ADRC strategy | J Z Yu [242] | A sliding-mode fuzzy control and a multiple-stage directional control are integrated | |
C Meurer [237] | Nonlinear PD controller | S L Chen [241] | BS-based hybrid target tracking control | ||
Z Q Cao [236] | Self-tuning fuzzy strategy | Leaping control | J Z Yu [251] | AoA-based speed control and the hybrid closed-loop control are integrated |