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 effective 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.

Fuzzy self-tuning PI control of PM synchronous motor drives

CHIRICOZZI, Enzo;PARASILITI COLLAZZO, Francesco;TURSINI, MARCO;
1996

Abstract

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 effective 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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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/19630
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