| Summary: | 碩士 === 國立臺灣海洋大學 === 電機工程學系 === 103 === This thesis presents two predictive current controllers, namely the model-based predictive current controller, the model-free predictive current controller, and the simplified predictive current controller, applying to a synchronous reluctance motor. The later two predictive current controllers are based on the current variation detection technique; therefore,it is not necessary to use parameters of motor and back-EMF in current prediction algorithms. Compared to the model-free predictive current controller, the simplified model-free predictive current controller uses a designed switching table so as to achieve the low on-line computation. As a result, it can effectively reduce the switching frequency of inverter, and can extend the life time of inverter. To get a fair comparison, simplified, model-free and model-based predictive current controllers are implemented by a digital signal processor, TMS320F2808, made by Texas Instruments company. Finally, the correctness and feasibility of the proposed methods are validated by experiments.
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