基于模糊控制与遗传算法的异步电动机定位控制研究

The Control of the Positioning System of Asynchronous Motors Based on Genetic Algorithms and Fuzzy Logic

提出一种基于遗传算法优化的模糊控制器设计方法。以模糊控制器的隶属函数参数作为优化性能指标,利用遗传算法优化隶属函数的位置、形状、后件参数等。实验结果表明,该方法用于异步电动机定位控制,可明显提高定位精度并缩短定位时间。

The problem of the positioning system of asynchronous motors is investigated. A fuzzy controller is proposed based on the genetic algorithm optimization. By taking the parameter of membership function for fuzzy controller as the performance indexes and optimization using the genetic algorithms is implementing. The experiments results indicates that the proposed method have a good position precision and to shorten a time.