Universiti Teknologi Malaysia Institutional Repository

Optimal controller design for a railway vehicle suspension system using particle swarm optimization

Selamat, Hazlina and Mohd. Nor, A. S. (2010) Optimal controller design for a railway vehicle suspension system using particle swarm optimization. In: The 4th World Engineering Congress 2010 : Engineering & Technology for Global Stability and Security (WEC 2010) , 2-5 August 2010, Kuching, Sarawak.

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Official URL: http://www.penerbit.utm.my/cgi-bin/jurnal/artikel....

Abstract

This paper presents the design of an active suspension control of a two–axle railway vehicle using an optimized linear quadratic regulator. The control objective is to minimize the lateral displacement and yaw angle of the wheelsets when the vehicle travels on straight and curved tracks with lateral irregularities. In choosing the optimum weighting matrices for the LQR, the Particle Swarm Optimization (PSO) method has been applied and the results of the controller performance with weighting matrices chosen using this method is compared with the commonly used, trial and error method. The performance of the passive and active suspension has also been compared. The results show that the active suspension system performs better than the passive suspension system. For the active suspension, the LQR employing the PSO method in choosing the weighting matrices provides a better control performance and a more systematic approach compared to the trial and error method.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:active suspension control, two–axle railway vehicle, linear quadratic regulator, particle swarm optimization
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:24147
Deposited By: Liza Porijo
Deposited On:25 Jun 2012 01:49
Last Modified:25 Jun 2012 01:49

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