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Adaptive robust active suspension control based on intelligent road classifier

Abstract : In this paper an intelligent robust feedback control approach is proposed for the nonlinear disturbed suspension system. The nonlinear controller is formulated based on the integral higher order sliding mode with control parameters optimized using Particle Swarm Optimization technique. A novel classifier invariant to changes in control parameters is developed to detect the road class. Subsequently in the real time, based on system responses the road level is detected by the classifier and accordingly the optimized control parameters are selected to implement the controller. The closed loop stability of the proposed approach is established and simulation results for different road classed are presented to show improvement in passenger comfort.
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https://hal-uphf.archives-ouvertes.fr/hal-03411414
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Submitted on : Tuesday, November 2, 2021 - 11:32:28 AM
Last modification on : Wednesday, November 3, 2021 - 3:52:59 AM

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Yechen Qin, Mingming Dong, Changle Xiang, Tariq Kareemulla, Chouki Sentouh, et al.. Adaptive robust active suspension control based on intelligent road classifier. IEEE 56th Annual Conference on Decision and Control (CDC), Dec 2017, Melbourne, Australia. pp.861-866, ⟨10.1109/CDC.2017.8263767⟩. ⟨hal-03411414⟩

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