Title :
Optimal PID controller design in PMSM based on Improved Genetic Algorithm
Author :
Yu, Ren ; Chengyao, Zhao
Author_Institution :
Inst. of Software & Intell. Technol., Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
A novel PID controller design method based on Improved Genetic Algorithm is proposed in the paper for PMSM Servo system. By using real-coded chromosomes scheme, and strategies of protecting the best individual, accepting immigrations, as well as employing adaptive crossover and mutation operators, meanwhile, choose output-overshoot, rise time and steady error of the system as the fitness function to weight the system performance. The global searching ability and the convergence speed of the IGA are significantly improved, and the performance of the PID controller is optimized to satisfaction. Experiment results show that the novel PID controller design method can achieve a faster Motor response, better traceability and markedly improved control results.
Keywords :
Algorithm design and analysis; Biological cells; Control systems; Design methodology; Genetic algorithms; Genetic mutations; Optimal control; Protection; Servomechanisms; Three-term control; Genetic Algorithm; PID controller; PMSM;
Conference_Titel :
Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-1-4244-7653-4
DOI :
10.1109/ICINDMA.2010.5538354