Summary: | 碩士 === 國立臺灣科技大學 === 電機工程系 === 91 === This dissertation presents globally convergent adaptive control for the speed and position control of an induction motor. First, the mathematical model of the induction motor in the three-phase frame transfers to the synchronously rotating reference frame according to the coordinate transformation. In order to simplify the design of controller, the input-output linearization theory is employed to decouple the rotor position and the flux amplitude in the rotor reference frame in indirect field-oriented control scheme. Then, a globally convergent adaptive control algorithm is designed to control the speed and position of the induction motor. The overall control system is verified to be stable and robust to the mechanical parameter variations and external load disturbances by the Barbalat Lemma.
Finally, the C language is used to implement the proposed control algorithm on a PC-based controller. The AD/DA card is used to transport signals, and applied to a three-phase induction motor system for the speed and position control purpose. Experimental results show that globally convergent adaptive control scheme can get good speed and position response, and the varying mechanical parameters and load regulating responses can be overcome by the proposed controller.
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