本文探討最大效率追蹤法應用在內藏式永磁同步電動機驅動系統，如：冷氣機、泵浦、抽風機等。由於環保意識興起，人們逐漸重視節能，為了減少能源的浪費，文中探討最陡上升法應用在電動機驅動系統中，以期能達成最大效率控制。
此外，為了改善驅動系統的動態響應，本文亦探討預測型速度控制器。為了避免輸入電流飽和，將限制條件加入預測型控制器，以改善控制器的性能，使電動機具有快速的暫態響應及較佳的加載能力。
使用最陡上升法使最大效率追蹤步數從14步降低至4步，預測型控制器的超越量從傳統比例-積分控制器的最大超越量2%降低至0%。
文中，使用德州儀器公司所生產的數位訊號處理器TMS320F28379D，作為驅動及控制的核心，以進行最大效率追蹤法與預測型速度控制法。實驗結果與理論分析相當吻合，說明本文所提方法的正確性及可行性。

This thesis proposes a maximum efficiency tracking method for interior permanent-magnet synchronous motor drive systems, such as: air conditioners, pumps, and fans. Due to the environmental protection issues and the reduction of the waste energy, this thesis investigates the steepest ascent method to achieve maximum efficiency control for IPMSM drive systems.
In addition, to improve the dynamic responses of the drive system, this thesis studies the predictive speed controller design. The current controller with constraint is also investigate.
The steepest ascent method is used to reduce the maximum efficiency tracking steps from 14 steps to 4 steps, and the overshot of the predictive controller is reduced from 2% to 0% compared with the traditional PI controller.
A digital signal processor(DSP), type TMS320F28379D, made by Texas Instruments, is used as the control center of the drive system. The DSP executes the maximum efficiency tracking algorithm and predictive speed control algorithm. Several experimental results are shown in this thesis. The experimental results can validate the theoretical analysis and indicates the correctness and feasibility of the steepest ascent method proposed.

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