Discrete-time multi-model preview control: Application to a real semi-active automotive suspension system
Résumé
Road roughness is one of reasons of vehicle vibration. Passengers feel uncomfortable or goods are damaged
with the serious vibration caused by the irregular road surface. 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 measurements or predictions of road disturbances. The
objectives are to minimize a quadratic criterion on the system output and at the same time to achieve a good
magnitude of the control signal. The proposed solution combines a robust feedback controller together with a
preview feedforward filter. This new method is developed to synthesize the preview feedforward filter in order
to limit the control force demand of an electro-rheological (ER) damper 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. Both simulation and experimental results demonstrate the effectiveness of the proposed controller
to determinate the damper force in real-time face to measurement noises and road disturbances.