永磁同步馬達（PMSM）因高效率、高功率密度和良好的動態性能，廣泛應用於電動車及工業驅動系統中。在此應用中，單位功率因數控制能夠提高變頻器容量使用率，減少虛功率的損耗，本論文提出次最佳化單位功率因數控制(Sub-Optimal Unity Power Factor Control)演算法，解決傳統查表法(Look-Up-Table, LUT)使用上不彈性的問題。然而，PMSM的電感容易受到飽和效應等影響而變化，因此電感估測也是非常重要的一環。因此本論文引入線上參數識別架構，該方法利用量測馬達的電壓、電流、轉速，結合窗口型最小平方法(Windowed Least Square, WLS)進行參數識別，估測馬達的電感與永磁磁交鏈。透過動態更新這些參數至單位功率因數控制演算法中，使系統能夠在不同運行條件下維持高精度的單位功率因數控制。為驗證該方法的有效性，使用德州公司（Texas Instruments）F28379D開發版，搭建硬體迴路(Hardware-in-the-loop, HIL)實驗平台，並進行模擬和實驗測試分析控制器在不同負載和運行速度下的性能表現。結果顯示，所提方法能顯著提升馬達之功率因數，並有效應對參數變化對控制精度的影響。

Permanent magnet synchronous motors (PMSMs) are widely utilized in electric vehicles and industrial drive systems due to their high efficiency, high power density, and excellent dynamic performance. This paper proposes a sub-optimal unity power factor control algorithm to address the inflexibility of traditional look-up-table (LUT) methods. It integrates an online parameter identification framework employing a windowed least squares (WLS) method for high-precision estimation of motor parameters, ensuring robust control. A hardware-in-the-loop (HIL) platform was developed using the Texas Instruments F28379D development board to validate the approach. Experimental results demonstrate that the proposed method effectively enhances the power factor performance and mitigates the impact of parameter variations, offering a reliable solution for PMSM control in dynamic environments.

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