本文旨在應用模糊邏輯控制器於三相永磁式同步電動機之轉矩估測，完成轉速閉迴路控制及虛擬轉矩閉迴路控制，藉此輸出穩定之電磁轉矩。而在控制器部分採用模糊邏輯原理於轉矩估測，回授交軸電流命令與實際交軸電流相減所得之誤差量，經模糊邏輯計算估測出電磁轉矩，達到轉矩估測虛擬閉迴路控制。此外，本系統並回授轉速及永磁式同步電動機之電流，完成轉速閉迴路及交、直軸電流控制。本文之系統亦完成永磁式同步電動機之參數量測，作為控制器之參考依據。
整體系統以數位信號處理器TMS320LF2407A為控制核心，整合三相變頻器、閘極驅動電路、電磁旋轉編碼器與電流偵測元件所完成之驅動系統，有效縮小體積，同時以組合語言撰寫之數位軟體，完成三相永磁式同步電動機控制。
本文已完成直流鏈電壓為24V、額定功率30W之永磁式同步電動機驅動系統。應用模糊邏輯於轉矩估測閉迴路軟體控制，較諸轉速及電流閉迴路控制，有效減低電動機運轉時之轉矩突波，並使輸出轉矩較為平穩。於轉速及轉矩估測虛擬閉迴路控制，其相電流之總諧波失真率為5.2%，少於轉速及電流閉迴路控制之總諧波失真率10.2%。

This thesis presents the application of fuzzy logic to the torque estimation of permanent-magnet synchronous motor drives. Speed and torque virtual closed-loop controls are achieved to acquire the steady output electrical torque. Torque estimator is designed with fuzzy logic method. The electrical torque is estimated by quadrature current error through torque estimator to accomplish the proposed torque virtual closed-loop control. On the other hand, the magnetic rotary encoder and current sensor are used for speed and current feedbacks to complete the speed and current closed-loop control. In addition, parameters of permanent-magnet synchronous motor are measured and used in controller design.
In this thesis, the digital signal processor, TMS320LF2407A, is used to implement the proposed control functions. The driving system composed of inverter, gate driver, magnetic rotary encoder, current sensor and over-voltage sensor is integrated to reduce the dimension. Furthermore, the control functions are realized by software to complete permanent-magnet synchronous motor control.
An experimental system of 24V, 30W is built. Comparing with speed and current closed-loop control, the application of fuzzy logic to the torque estimation can not only reduce the spike of electrical torque, but also make torque more smooth. The total harmonic distortion of phase current is 5.2% in the proposed control, which is less than 10.2% when the speed and current closed-loop control is used.

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