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Article Dans Une Revue Control Engineering Practice Année : 2023

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.

Domaines

Automatique
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Dates et versions

hal-04093634 , version 1 (10-05-2023)

Identifiants

Citer

Asma Achnib, Olivier Sename. Discrete-time multi-model preview control: Application to a real semi-active automotive suspension system. Control Engineering Practice, 2023, 137, pp.105553. ⟨10.1016/j.conengprac.2023.105553⟩. ⟨hal-04093634⟩
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