ESO-based adaptive full state constraint control of uncertain systems and its application to hydraulic servo systems

• Published in: Mechanical systems and signal processing Vol. 167; p. 108560
• Main Authors: Xu, Zhangbao, Qi, Guoliang, Liu, Qingyun, Yao, Jianyong
• Format: Journal Article
• Language: English
• Published: Berlin Elsevier Ltd 15.03.2022; Elsevier BV
• Subjects: Adaptive control; Constraints; Control stability; Controllers; Extended state observer; Feedback control; Full state constraint control; Hydraulic servo systems; Liapunov functions; Nonlinear systems; Nonlinearity; Parameter estimation; Servocontrol; State observers; Tracking; Uncertain systems; Uncertainties; Uncertainty; Uncertain systems; Extended state observer; Uncertainties; Adaptive control; Hydraulic servo systems; Full state constraint control
• ISSN: 0888-3270; 1096-1216
• DOI: 10.1016/j.ymssp.2021.108560

•Aaptive control and extended state observer are integrated to solve uncertainties;•Barrier Lyapunov function is employed to constrain all states of system;•A novel controller is designed to guarantee global stability without violation of all state constraints;•The application to hydraulic servo systems is used to demonstrate the validity of the proposed method. In this paper, the control problem of a class of nonlinear systems with uncertainties and full state constraints is investigated and a full state constraint controller with parameter estimation and disturbance compensation is designed. Adaptive control for parametric uncertainties and extended state observer for uncertain nonlinearities are integrated into the barrier Lyapunov function-based full state constraint control via backstepping design, ensuring the nonviolation of full state constraints and the stability of the closed-loop system concurrently. With the proposed controller, all states are constrained within defined boundaries even with large uncertainties in the system and improved tracking performance can be achieved. In addition, asymptotic tracking is realized when the uncertain nonlinearities are time-invariant. Finally, the application of the proposed controller to hydraulic servo systems is carried out to demonstrate its validity.