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Fuzzy self-tuning PI control of PM synchronous motor drives
In this paper, a new gain self-tuning method for PI controllers based on a fuzzy inference mechanism has been proposed and implemented. The essential idea is: (1) define a dynamically changed reference trajectory in the error and error derivative plane, called a 'sliding trajectory'; (2) c...
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Published in: | International journal of electronics 1996-02, Vol.80 (2), p.211-221, Article 211 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this paper, a new gain self-tuning method for PI controllers based on a fuzzy inference mechanism has been proposed and implemented. The essential idea is: (1) define a dynamically changed reference trajectory in the error and error derivative plane, called a 'sliding trajectory'; (2) compute the error area between the sliding trajectory and the e ective one with a special algorithm, and use this quantity as a performance index to evaluate the system response; (3) draw a fuzzy relationship between a PI gain correction parameter and the performance index; (4) based on the fuzzy inference mechanism, PI gains are calculated and tuned. The proposed method has been verified through simulations, using the speed control of a PM synchronous motor drive system as a testbed. The results obtained demonstrate the effectiveness of this novel method. |
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ISSN: | 0020-7217 1362-3060 |
DOI: | 10.1080/002072196137417 |