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

L.M.Grzesiak Institute of Control and Industrial Electronics, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar¹  B. UfnalskiCorresponding authorInstitute of Control and Industrial Electronics, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, PolandEmailOther articles by this author:De Gruyter OnlineGoogle Scholar¹ 

[1] Institute of Control and Industrial Electronics, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland

关键词: Keywords : electric vehicle;    speed control;    adaptive ANN controller;    particle swarm optimization.;   

DOI  :  10.2478/v10175-012-0059-9

学科分类：工程和技术（综合）

来源: Polska Akademia Nauk * Centrum Upowszechniania Nauki / Polish Academy of Sciences, Center for the Advancement of Science

【 摘 要 】

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.

【 授权许可】

Unknown