Self-Tuning Optimal Control of an Active Suspension

Chen, Hung-Hsu Fred; Guenther, Dennis A.

doi:10.4271/892485

Cited by 5 publications

(1 citation statement)

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“…Hac [8] showed how the control conditions for a vehicle and suspension vary with speed and road roughness and, as a consequence, derived a gain map which could assure satisfactory ride performance. Chen and Guenther [9] developed a self-tuning linear quadratic regulator (LQR) which compensated for vehicle inertia and mass variations while maintaining some desired performance. More recently, several publications have appeared that can be more readily classified within the conventions of adaptive control.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive control of an active vehicle suspension system

Ramsbottom

Crolla

Plummer

1999

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper describes the development of an adaptive control scheme for an active vehicle suspension system. The proposed scheme comprises a variant of the self-tuning pole assignment algorithm and a simple fuzzy logic gain scheduling controller. In this work, the active suspension problem is interpreted as one of regulation and setpoint tracking and, as a consequence, combined ride and levelling control is realized. Simulation results for a quarter vehicle model indicate that ride performance benefits can be achieved in parallel with levelling control capabilities. Moreover, it is shown that this scheme retains good control performance even in the presence of vehicle configuration uncertainties and road disturbance changes.

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Section: Introductionmentioning

confidence: 99%