Mechanics & Industry
Volume 21, Number 6, 2020
|Number of page(s)||8|
|Published online||19 November 2020|
Investigation of sliding mode control for nonlinear suspension systems with state estimation
School of Mechatronics & Vehicle Engineer, Chongqing Jiaotong University, Chongqing 400074, China
2 State Key Laboratory of Fluid Power and Mechatronic Systems, Hangzhou 310027, China
3 School of Intelligent Manufacturing Engineering, Chongqing University of Arts and Sciences, Chongqing 402160, China
* e-mail: firstname.lastname@example.org
Accepted: 1 October 2020
This paper presented a new control strategy for active suspension of nonlinear quarter-vehicle model. An active suspension controller designed for using sliding mode control with noise filtering. The Kalman filter (KF) predicted the state response of the nonlinear one-quarter automobile model, and the estimated values used for the design of the active control force. Finally, the shock absorption performance compared with the LQR controller and the passive suspension. The simulation results showed that the control method significantly improve the ride performance and safety of the vehicle.
Key words: Active suspension control / sliding mode control / non-linear model / Kalman filter
© AFM, EDP Sciences 2020
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