NDLI: GA based PI control of BLDCM Drive

Content Provider	IEEE Xplore Digital Library
Author	Xiu Jie Liu Liyun Che Yanbo Wang Shiyu
Copyright Year	2008
Description	Author affiliation: Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin (Xiu Jie; Liu Liyun; Che Yanbo)
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.
Starting Page	189
Ending Page	193
File Size	276071
Page Count	5
File Format	PDF
ISBN	9787900719706
DOI	10.1109/CHICC.2008.4605261
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute Of Intelligence M&C Technical Of KMUST
Subject Keyword	Parameter optimum Gallium Brushless DC motors Genetic algorithm Digital signal processing Pulse width modulation Educational institutions Robustness Brushless DC motor Mathematical model PI controller
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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