DocumentCode :
2661925
Title :
GA based PI control of BLDCM Drive
Author :
Jie, Xiu ; Liyun, Liu ; Yanbo, Che ; Shiyu, Wang
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
189
Lastpage :
193
Abstract :
The brushless DC motor (BLDCM) has a good control performance. The classical PI controller is widely used controller. But the determining of its parameter needs the mathematical model of the system. Usually the exact mathematical model of system is hard to known. This places a restriction on the applying of the commonly used Z-N method to determine the parameters. Also the parameter determined by the Z-N method is not the optimum one. GA is an optimization technique that performs a parallel, stochastic, but directed search to evolve the most fit population. And it dose not need the gradient information of object function. But only dependent on the evaluation function, it can guide the optimum process. Except this, the GA algorithm also has the property of robustness and parallel computation. Therefore, in this paper, the GA algorithm is applied to optimum the parameters of PI controller. Through this method, the response of the system is improved and overshoot is reduced and steady state error is eliminated. The determining of parameters of PI controller is simplified and the optimum response of system can be reached. Experimental results demonstrate that a good control performance is achieved. The system responses quickly with little overshoot. There is no error in steady state. The system shows a strong ability to reject disturbance and a strong characteristic of robustness.
Keywords :
DC motor drives; PI control; brushless DC motors; genetic algorithms; machine control; search problems; BLDCM drive; GA based PI control; Z-N method; brushless DC motor; directed search; evaluation function; genetic algorithm; gradient information; mathematical model; optimization; parallel search; stochastic search; Automatic control; Brushless DC motors; Electronic mail; Integrated circuit modeling; Mathematical model; Pi control; Pulse width modulation; Robust control; Steady-state; Tellurium; Brushless DC motor; Genetic algorithm; PI controller; Parameter optimum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4605261
Filename :
4605261
Link To Document :
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