Fuzzy Dynamic Output Feedback for Networked Control Active Suspension Systems: An IQC-Based Heuristic Multirate Sampling Iterative Controller Algorithm

This article investigates the design problem of a heuristic dynamic output feedback controller algorithm for addressing transmission time delay interference in networked active suspension systems during multirate sampling processes. First, the Takagi-Sugeno fuzzy model control method is used to describe the uncertain active suspension system with networked time delay disturbances. Second, a novel integral operator is constructed within the framework of integral quadratic constraint to constrain the uncertain disturbance term of the fuzzy system, and an exponential stability criterion for the closed-loop system is provided to improve the convergence speed of the state. Furthermore, a novel heuristic dynamic output feedback controller iterative algorithm is proposed, which can effectively handle time delay interference while ensuring smooth driving and safe vehicle operation. Finally, the simulation results show that the proposed heuristic dynamic output feedback controller can significantly improve the comfort of passengers while meeting the constraints of vehicle suspension deflection and tire load and has advantages over other feedback control strategies.