| Summary: | 碩士 === 國立臺北科技大學 === 電機工程系研究所 === 97 === In this thesis, the direct torque control (DTC) scheme is used to fullfil the speed control for induction motors. As compared to the field oriented control (FOC), the proposed controller has the following advantages: quick dynamic response, simple structure, and low computation complexity. Also, the space voltage vector modulation is adopted to replace the conventional hysteresis-switching to reduce the torque ripples and noise influences.
The proposed speed control is an adaptive fuzzy cerebellar model articulation controller (AFCMAC) which is designed based on the cerebellar model articulation controller (CMAC) and fuzzy control theory. AFCMAC has the advantages of simple structure and rapid learning ability. In addition, the fuzzy stator resistance estimator (FSRE) is proposed to accurately estimate the stator resistances and stator flux in the temperature varation. The speed estimator is utilized to realize the speed sensor-less control and achieve the advantages of cost-effectiveness and structure robustness.
The results of simulations and experiments show that, with 8 Nm load torque, the proposed direct torque control system with AFCMAC and FSRE achieves excellent speed response and robustness against parameter variations within a speed range between 36 rpm to 1800 rpm.
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