Event-Triggered Adaptive Fuzzy Output Feedback Tracking Control for Pneumatic Servo System With Input Voltage Saturation and Position Constraint
Changhui Wang, Yan Shi, Yixuan Wang, Shaofeng Xu, Mei Liang
Abstract
This article focuses on the event-triggered adaptive fuzzy tracking control for a pneumatic servo system (PSS) with input voltage saturation and position output constraint. First, a state observer is introduced to estimate the unmeasurable state through the displacement sensor signal. Second, the barrier Lyapunov function is constructed to guarantee that the output constraint is not violated. Meanwhile, the event-triggered adaptive controller is constructed to ensure the control performance of the PSS as well as to reduce communication burden. It is proved that the proposed control strategy can guarantee that the convergence of the tracking error can be ensured, all the signals in the closed-loop PSS are bounded, and position output does not transgress the constrained set. Finally, the experimental results show that the control precision and response speed can be improved by using the proposed algorithm.