Adaptive Super-Twisting Sliding Mode Control of Underwater Mechanical Leg with Extended State Observer
Lihui Liao,
Luping Gao,
Mboulé Ngwa,
Dijia Zhang,
Jingmin Du,
Baoren Li
Affiliations
Lihui Liao
Institute of Marine Mechatronics and Equipment, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Luping Gao
Institute of Marine Mechatronics and Equipment, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Mboulé Ngwa
Institute of Marine Mechatronics and Equipment, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Dijia Zhang
Institute of Marine Mechatronics and Equipment, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Jingmin Du
Institute of Marine Mechatronics and Equipment, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Baoren Li
Institute of Marine Mechatronics and Equipment, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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).
