Nonlinear Predictive Sliding Mode Control for Active Suspension System

• Published in: Shock and vibration Vol. 2018; no. 2018; pp. 1 - 10
• Main Authors: Yang, Bin, Gong, Mingde, Zhao, Dingxuan, Wang, Dazhuang
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Active control; Adaptive systems; Automobile industry; Automotive parts; Computer simulation; Control systems; Control theory; Dampers; Dynamic models; Fuzzy logic; Fuzzy systems; Insurance claims; Nonlinear control; Nonlinear systems; Passenger comfort; Predictive control; Robust control; Sliding mode control; Stability
• ISSN: 1070-9622; 1875-9203
• DOI: 10.1155/2018/8194305

An active suspension system is important in meeting the requirements of the ride comfort and handling stability for vehicles. In this work, a nonlinear model of active suspension system and a corresponding nonlinear robust predictive sliding mode control are established for the control problem of active suspension. Firstly, a seven-degree-of-freedom active suspension model is established considering the nonlinear effects of springs and dampers; and secondly, the dynamic model is expanded in the time domain, and the corresponding predictive sliding mode control is established. The uncertainties in the controller are approximated by the fuzzy logic system, and the adaptive controller reduces the approximation error to increase the robustness of the control system. Finally, the simulation results show that the ride comfort and handling stability performance of the active suspension system is better than that of the passive suspension system and the Skyhook active suspension. Thus, the system can obviously improve the shock absorption performance of vehicles.