| Summary: | 碩士 === 國立臺灣科技大學 === 電機工程系 === 91 === Abstract
The purpose of this thesis is to investigate the application of the self-organizing fuzzy controller (SOFC) in the parameter tuning of speed and flux controller under indirect rotor-flux-oriented induction motor driver. In this paper, the control rule bank of SOFC will be established and updated by online learning algorithm from zero initial fuzzy rules. This approach has a learning ability for responding to the nonlinear time-varying characteristics of induction motor so that it can enhance the adaptability and robustness of the induction motor driver. In addition, the design of scaling factor addressed in this thesis for speed and flux controller can reduce time-consuming work for general fuzzy controllers.
In the experimental setup, the control program is developed on the PC-Based motor controller development system, and tested on a TECO 1-hp induction motor supplied by a RHYMEBUS RM5 inverter. The performance of SOFC is compared with the conventional PI controller, the basic fuzzy controller, and the fuzzy model reference learning controller through many experiments. It shows that the proposed controller attain better performance than other controllers’. Also, the experimental results verify the feasibility of our control strategy.
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