TP model based h1 control design for the heavy vehicle rollover prevention problem

Research output: Contribution to conferencePaper

Abstract

This paper is focusing on rollover prevention to provide a heavy vehicle with the ability to resist overturning moments generated during cornering. A combined yawroll model including the roll dynamics of unsprung masses is studied. This model is nonlinear with respect to the velocity of the vehicle. In our model the velocity is handled as an LPV scheduling parameter. The Linear Parameter-Varying model of the heavy vehicle is transformed into a proper polytopic form by Tensor Product model transformation. The H gain-scheduling based control is immediately applied to this form for the stabilization. The effectiveness of the designed controller is demonstrated by numerical simulation.

Original languageEnglish
Publication statusPublished - Dec 1 2008
Event9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008 - Budapest, Hungary
Duration: Nov 6 2008Nov 8 2008

Other

Other9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008
CountryHungary
CityBudapest
Period11/6/0811/8/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    Nagy, S., Gáspár, P., & Baranyi, P. (2008). TP model based h1 control design for the heavy vehicle rollover prevention problem. Paper presented at 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008, Budapest, Hungary.