Novel fuzzy sliding controller for MRD suspensions subjected to uncertainty and disturbance

• DOI: 10.1016/j.engappai.2017.03.002
• Publication Date: 2017-03-07T21:49:35Z
• Authors: Sy Dzung Nguyen; Huu-Vinh Ho; Thoi-Trung Nguyen; Nang Toan Truong; Tae-Il Seo
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

In this paper, the design of an adaptive optimal fuzzy sliding controller (AOFSC) for semi-active magnetorheological damper (MRD) vehicle suspension system subjected to uncertainty and disturbance (UAD) whose time-varying rate may be high but bounded is presented. This is a combination of an adaptive optimal fuzzy sliding mode controller (FSMCop), a nonlinear disturbance observer (NDO) and an inverse MRD model to create the desired control force, including the compensation part for UAD. An adaptive control law is proposed to establish a fuzzy-gain update law for the AOFSC and a parameter tie for the NDO such that the convergence of system's dynamic response is a Lyapunov asymptotically stable process. Surveys via simulations along with via an experimental apparatus showed that the high capability to exterminate vibration, robust stability, and the economic efficiency are the main advantages of the proposed AOFSC. Structure and operating principle of the controller AOFSC, in which (t1) and (t) respectively denote the previous and present loop.Display Omitted Designing the NDO for compensating for external disturbance.Designing the FSMCop.Establishing the parameter ties between the update laws of the FSMCop and NDO.An application of the proposed method to a real MRD suspension system.