感應馬達在結構特性上因堅固耐用、易於維護、價格低廉等優點，被廣泛的應用在工業界中，近年來更由於向量控制技術日漸成熟，使得感應馬達的控制性能大幅提升。然而為了達到精確的速度回授控制，經常需要加裝速度感測器來測量轉速，在特定用途的感應馬達因其成本、包裝及環境限制等因素，使得無感測控制的方法得以被提出。在本論文中以擴展型卡爾曼濾波器（Extended Kalman Filter, EKF）為基礎發展感應馬達的即時無速度感測器控制及狀態估測，除了對速度的估測外，EKF還用於其他重要狀態的即時估測，如負載、定子及轉子溫度。在即時控制的環境當中以TI TMS320F28335 作為控制核心，驗證感應馬達之無速度感測器控制和基於EKF 的估測器性能。

Induction motors have the advantages of being robust, easy to maintain and inexpensive in terms of their structural characteristics, and are thus widely used in the industry. In recent years, due to the maturity of vector control technology, the control performance of induction motors has been greatly improved. However, in order to achieve accurate feedback control of the speed, it is often necessary to include a speed sensor for the rotating speed measurement. In some appications of induction motors, due to the cost, packaging and environment constraints, the method of speed sensorless control has been proposed. In this thesis, realtime speed sensorless control and state estimation of induction motors is developed based on Extended Kalman Filter (EKF). Besides an estimate of the speed, the EKF is also used for real-time estimation of other important states such as load, stator and rotor temperature. The performance of the speed sensorless control and EKF-based estimator is validated in real-time control environment with TI TMS320F28335 as the control core.

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