Reliable Fuzzy Sampled-Data Control for Nonlinear Suspension Systems Against Actuator Faults

• Published in: IEEE/ASME transactions on mechatronics Vol. 27; no. 6; pp. 5518 - 5528
• Main Authors: Zhao, Jing, Wong, Pak Kin, Li, Wenfeng, Ghadikolaeia, Meisam Ahmadi, Xie, Zhengchao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Actuator faults; Actuators; Algorithms; Continuous time systems; Control systems design; Delays; Fuzzy control; Nonlinear control; Nonlinear dynamical systems; nonlinear dynamics; Nonlinear systems; Optimization; Output feedback; Passenger comfort; Roads; sampled-data control; Shock absorbers; Suspension systems; Suspensions (mechanical systems); Systems stability; Tires; Vehicle dynamics; vehicle suspension control
• ISSN: 1083-4435; 1941-014X
• DOI: 10.1109/TMECH.2022.3184617

This article investigates the reliable fuzzy sampled-data control issue of nonlinear vehicle suspension systems subject to actuator faults. Considering the high nonlinear characteristics in the springs and the shock absorbers, the Takagi-Sugeno fuzzy method is utilized to describe the nonlinear suspension system. To deal with the discrete phenomenon of nonuniform sampling, an input-delay is employed to convert the continuous-discrete suspension system into a continuous-time form. Motivated by the above system model, a Lyapunov functional candidate is employed to obtain sufficient conditions that can meet system stability and performance requirements simultaneously. Furthermore, a novel two-step optimization algorithm is proposed for the sampled-data controller design in the structure of output feedback. Finally, experimental tests are implemented via an active suspension test rig, and the test results illustrate that the proposed method contributes greatly to improve the ride comfort, handling performance, and road holding capability simultaneously.