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 proceeding

Abstract

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
Pages1437-1448
Number of pages12
Volume3
Publication statusPublished - 1 Dec 2005
Event10th EAEC European Automotive Congress - Belgrade, Serbia
Duration: 30 May 20051 Jun 2005

Conference

Conference10th EAEC European Automotive Congress
CountrySerbia
CityBelgrade
Period30/05/051/06/05

Keywords

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

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  • Cite this

    Kanarachos, S. A., & Spentzas, K. N. (2005). Intelligent Semi-Active Suspension Control Applied To A Half-Car Model. In European Automobile Engineers Cooperation - 10th EAEC European Automotive Congress, EAEC 2005 (Vol. 3, pp. 1437-1448)