Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/70044
標題: Hierarchical fuzzy control for C-axis of CNC turning centers using genetic algorithms
作者: Lin, L.C.
Lee, G.Y.
關鍵字: hierarchical fuzzy control
genetic algorithms
flexible C-axis
dynamic
friction
low-speed control
friction
systems
期刊/報告no:: Journal of Intelligent & Robotic Systems, Volume 25, Issue 3, Page(s) 255-275.
摘要: A combined PD and hierarchical fuzzy control is proposed for the low-speed control of the C-axis of CNC turning centers considering the effects of transmission flexibility and complex nonlinear friction. Learning of the hierarchical structure and parameters of the suggested control strategy is carried out by using the genetic algorithms. The proposed algorithm consists of two phases: the first one is to search the best hierarchy, and the second to tune the consequent center values of the constituent fuzzy logic systems into the hierarchy. For the least total control rule number, the hierarchical fuzzy controller is chosen to include only the simple two-input/one-output fuzzy systems, and both binary and decimal genes are used for the selection, crossover and mutation of the genetic algorithm. The proposed approach is validated by the computer simulation. Each generation consists of 30 individuals: ten reproduced from its parent generation, ten generated by crossover, and the other ten by mutation. In the simulations, the C-axis is assumed to be driven by a vector-controlled AC induction motor, and the dynamic friction model suggested by Canudas de Wit et al. in 1995 is used.
URI: http://hdl.handle.net/11455/70044
ISSN: 0921-0296
文章連結: http://dx.doi.org/10.1023/a:1008035612395
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