Intelligent Semi-Active Suspension Control Applied To A Half-Car Model

Stratis A. Kanarachos, Konstantinos N. Spentzas

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    1 Citation (Scopus)


    Suspension feedback control has been investigated extensively in the last decade for active and semi-active suspension concepts. Various control concepts exist, like the linear-quadratic (LQ) state-vector feedback, the minimal variance principle, sliding mode control, H8 controllers, fuzzy control, etc. The present paper focuses on semi-active suspension via a modulated damper using a predictive nonlinear controller. The controller is optimized after a Pareto-optimum analysis and a post optimization procedure (Nelder-Mead algorithm). Simulation results for a half car model are presented and show a very satisfactory performance with respect to energy consumption and ride qualities for different bump amplitudes.
    Original languageEnglish
    Title of host publicationEuropean Automobile Engineers Cooperation - 10th EAEC European Automotive Congress, EAEC 2005
    Number of pages12
    Publication statusPublished - 1 Dec 2005
    Event10th EAEC European Automotive Congress - Belgrade, Serbia
    Duration: 30 May 20051 Jun 2005


    Conference10th EAEC European Automotive Congress


    • Nelder-Mead optimization
    • Pareto Analysis
    • Semi-active
    • Suspension Control


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