$H_\infty$ Control for a Class of Discrete-Time Systems via Data-Based Policy Iteration With Application to Wind Turbine Control
Yang Liu, Zuoxia Xing, Lei Chen, Jian Yuan Xu, Yunlu Li, Haixin Wang · IEEE Access · 2019
This paper concerns a novel data-based policy iteration control method for discrete-time systems with disturbances. To avoid the need of system dynamic and state, a new system equation is constructed by using system operation data. Based on this, we derive a new data-based Bellman equation that can be applied to the design of model-free policy iteration algorithm. For discrete-time system with disturbances, we transform$H_\infty $control into a zero-sum game problem, and then use the proposed new data-based PI method to solve it. Wind turbine control is a typical control problem with time delay and disturbance. Mathematical simulation results are given to demonstrate the effectiveness of the proposed data-based PI control method.