| Summary: | 碩士 === 國立臺北科技大學 === 電機工程系研究所 === 99 === The direct torque control (DTC) is implemented in induction motor drives in the thesis. Compared with the FOC, the advantages of the DTC include fast dynamical responses, low computation complexity and simple structure.
This thesis designs the fuzzy cerebellar model articulation controller (FCMAC) based on cerebella model articulation controller (CMAC) and fuzzy control theory, and derives the adaptation law by Lyapunov theory to ensure the stability of the system. This scheme designs speed estimator from an adaptive stator flux observer (ASFO) and using fuzzy logic controller (FLC) into it to achieve speed sensorless control. In addition, it is well known that the stator resistance of induction motor varies with temperature rising. This thesis also designs stator resistance estimator from an adaptive stator flux observer to adapt to stator resistance variation.
As demonstrated in simulated and experimental results, it is observed that excellent speed tracking performance and the accurate estimation of speed and stator resistance are shown in wide speed range (36 rpm-1800 rpm). In addition, the adaptive stator resistance estimator in this thesis can estimate stator resistance accurately.
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