Adaptive Super-Twisting Sliding Mode Control of Underwater Mechanical Leg with Extended State Observer

• Published in: Actuators Vol. 12; no. 10; p. 373
• Main Authors: Liao, Lihui, Gao, Luping, Ngwa, Mboulé, Zhang, Dijia, Du, Jingmin, Li, Baoren
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2023
• Subjects: Accuracy; Actuators; Adaptation; Adaptive algorithms; Adaptive control; adaptive super twisting control; Compensation; Control equipment; Control methods; Control systems design; Controllers; Deep sea; deep-sea crawling and swimming robot; Disturbances; Dynamical systems; extended state observer; Feedback control; Feedforward control; Fluid dynamics; Fluid mechanics; Fuzzy control; Hydrodynamics; Kinematics; Measuring instruments; Mechanical legs; Methods; Nonlinear dynamics; Robots; Sliding mode control; State observers; Twisting; Uncertainty; Underwater; underwater mechanical leg
• ISSN: 2076-0825; 2076-0825
• DOI: 10.3390/act12100373

Underwater manipulation is one of the most significant functions of the deep-sea crawling and swimming robot (DCSR), which relies on the high-accuracy control of the body posture. As the actuator of body posture control, the position control performance of the underwater mechanical leg (UWML) thus determines the performance of the underwater manipulation. An adaptive super-twisting sliding mode control method based on the extended state observer (ASTSMC-ESO) is proposed to enhance the position control performance of the UWML by taking into account the system’s inherent nonlinear dynamics, uncertainties, and the external disturbances from hydrodynamics, dynamic seal resistance, and compensation oil viscous resistance. This newly designed controller incorporates sliding mode (SMC) feedback control with feedforward compensation of the system uncertainties estimated by the ESO, and the external disturbances of the hydrodynamics by fitting the parameters, the dynamic seal resistance, and the compensation oil viscous resistance to the tested results. Additionally, an adaptive super-twisting algorithm (AST) with integral action is introduced to eliminate the SMC’s chattering phenomenon and reduce the system’s steady-state error. The stability of the proposed controller is proved via the Lyapunov method, and the effectiveness is verified via simulation and comparative experimental studies with SMC and the adaptive fuzzy sliding mode control method (AFSMC).