The paper presents implementation of PSO (Particle Swarm Optimization) to ANN-based speed controller tuning. Selected learning parameters are optimized according to the control objective function. A battery electric vehicle is considered as a potential plant for an adaptive speed controller. The need for adaptivity in the control algorithm is justified by variations of a total weight of the vehicle. A sizable section of the paper deals with selection of a combined objective function able to effectively evaluate the quality of a solution.
Particle swarm optimization of artificial-neural-network-based on-line trained speed controller for battery electric vehicle
Bulletin of the Polish Academy of Sciences: Technical Sciences ; 60 , 3 ; 661-667
2012
7 Seiten, 21 Quellen
Article (Journal)
English
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