A Robust Preview Feedforward Approach For Vehicle Semi Active Suspension Control Problem

This paper focus on the road adaptation for vehicle semi-active suspension system using preview robust control approach. This approach aims to improve the performance of control systems by using future knowledge of road disturbances. The objectives are to minimize a quadratic criterion on the system output and at the same time to maintain the control signal at a satisfactory level.The proposed solution combines a robust feedback controller with a preview feedforward filter. The feedback controller's purpose is to assure robustness of the closed-loop system to model uncertainties. This new method is developed to synthesize the preview feedforward filter in order to limit the control force damper demand and improve its reliability in an automotive suspension system, and is implemented on the INOVE testbench from GIPSA-lab (1/5-scaled real vehicle) for real-time performance assessment. Experimental results demonstrate the effectiveness of the proposed controller to determinate the damper force in realtime face to measurement noises and road disturbances.