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Fuzzy adaptive sliding mode controller for an air spring active suspension
Authors:W. -N. Bao  L. -P. Chen  Y. -Q. Zhang  Y. -S. Zhao
Affiliation:1. Center for Computer-Aided Design, School of Mechanical Science & Engineering, Huazhong University of Science & Technology, Wuhan, Hubei, 430074, China
3. School of Electromechanical & Architectural Engineering, Jianghan University, Wuhan, Hubi, 430056, China
2. Center for CAD/CAM, School of Mechanical Engineering & Applied Electronics Technology, Beijing University of Technology, Beijing, 100022, China
Abstract:A fuzzy adaptive sliding mode controller for an air spring active suspension system is developed. Due to nonlinearity, preload-dependent spring force and parameter uncertainty in the air spring, it is difficult to control the suspension system. To achieve the desired performance, a fuzzy adaptive sliding mode controller (FASMC) is designed to improve the passenger comfort and the manipulability of the vehicle. The fuzzy adaptive system handles the nonlinearity and uncertainty of the air suspension. A normal linear suspension model with an optimal state feedback control is designed as the reference model. The simulation results show that this control scheme more effectively and robustly isolates vibrations of the vehicle body than the conventional sliding mode controller (CSMC).
Keywords:
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