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The Optimizition of Genetic Algorithms for the PID Parameters of Motor Controller System

Xiao Long Tang Ensheng(Beijing Institute of Space Mechanics & Electricity,Beijing 100076)  
In recent years,the research of genetic algorithms is very popular.As a new random search and optimized method of simulating nature evolution,genetic algorithms is easy,currency and robust.It has shown its charm in the application of optimize combinition,machine learning,self-adaption control,programming design and so on.This method can search the best and efficient optimized combinition in the globe without any initial information.This paper optimizes the PID controller parameters of a motor by using genetic algorithms to improve the performance of the system.
【CateGory Index】: TM301.2
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