Robust optimal design for active pantograph suspension of light rail vehicles

Authors:
Yu-Chen Lin;Chun-Liang Lin;Niahn-Chung Shieh
Affiliations:
Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan, R.O.C.;Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan, R.O.C.;Chung Shan Institute of Science and Technology, Taoyuan, Taiwan, R.O.C.
Venue:
MIC'06 Proceedings of the 25th IASTED international conference on Modeling, indentification, and control
Year:
2006

Citing 3
Cited 0

Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms

Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Algorithms for Solving Multi-Objective Problems

Evolutionary Algorithms for Solving Multi-Objective Problems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper deals with the design of a new robust active controller for the pantograph of light rail vehicles aimed to provide stable electricity transmission. A three degree-of-freedom pantograph dynamic model is developed. Performance of the control system is evaluated on the basis of the variations of the displacement and acceleration between the pantograph and contact wire. An appropriate active control law is developed by means of linear quadratic regulator design to derive the stabilizing control gain for the uncertain pantograph system with perturbations caused by the time-varying stiffness of catenary. An evolutionary multiobjective optimization approach accompanied with the Pareto set and variable weights are also developed to deal with the complicated control design problem.