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    Suzhou Electric Appliance Research Institute
    期刊號(hào): CN32-1800/TM| ISSN1007-3175

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    永磁同步電機(jī)無位置傳感器控制現(xiàn)狀和展望

    來源:電工電氣發(fā)布時(shí)間:2023-03-04 12:04 瀏覽次數(shù):373

    永磁同步電機(jī)無位置傳感器控制現(xiàn)狀和展望

    生龍1,2,劉立昊1,葉永強(qiáng)3
    (1 中國(guó)石油大學(xué)(北京) 信息科學(xué)與工程學(xué)院,北京 102249;
    2 中國(guó)石油大學(xué)(北京)克拉瑪依校區(qū) 工學(xué)院,新疆 克拉瑪依 834000;
    3 南京航空航天大學(xué) 自動(dòng)化學(xué)院,江蘇 南京 211106)
     
        摘 要: 永磁同步電機(jī) (PMSM) 的無位置傳感器控制是當(dāng)前電機(jī)控制領(lǐng)域的研究熱點(diǎn)。針對(duì)永磁同步電機(jī)無位置傳感器控制中基于反電動(dòng)勢(shì)觀測(cè)以及電感凸極性的位置估計(jì)方法進(jìn)行歸納總結(jié)。分別對(duì)滑模觀測(cè)器法、模型參考自適應(yīng)法、龍伯格觀測(cè)器法、擴(kuò)展卡爾曼濾波器法、無跡卡爾曼濾波器法和高頻信號(hào)注入法的基本理念進(jìn)行了介紹,通過比較每種方法的優(yōu)勢(shì)和不足,并根據(jù)其缺點(diǎn)歸納了目前主要的改進(jìn)方法,并闡述了全速范圍內(nèi)兩大控制方法的結(jié)合策略,且對(duì)無位置傳感器控制的研究趨勢(shì)進(jìn)行了展望。
        關(guān)鍵詞: 永磁同步電機(jī);無位置傳感器;滑模觀測(cè)器法;模型參考自適應(yīng)法;龍伯格觀測(cè)器法;擴(kuò)展卡爾曼濾波器法;無跡卡爾曼濾波器法;高頻信號(hào)注入法
        中圖分類號(hào):TM341     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):1007-3175(2023)02-0001-08
     
    Status and Prospect on No Position Sensor Control of
    Permanent Magnet Synchronous Motor
     
    SHENG Long1,2, LIU Li-hao1, YE Yong-qiang3
    (1 College of Information Science and Engineering, China University of Petroleum-Beijing, Beijing 102249, China;
    2 College of Engineering, China University of Petroleum-Beijing at Karamay, Karamay 834000, China;
    3 College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)
     
        Abstract: The no position sensor control of permanent magnet synchronous motor (PMSM), is the current hot research topic in the field of motor control. In this paper, the position estimation method based on back electromotive force observation and inductance saliency in the no position sensor control of PMSM is reviewed. Then, the paper respectively introduces the basic concept of sliding mode observer (SMO),model reference adaptive system (MRAS), Luenberger observer (LO), extended Kalman filter (EKF), unscented Kalman filter (UKF) and high frequency injection method (HFIM). Finally, the paper summarizes the current main improvements according to their shortcomings by comparing the advantages and disadvantages of each method, describes the strategy that combines two control methods in the whole-speed range, and makes expectation on research trend of the no position sensor control.
        Key words: permanent magnet synchronous motor(PMSM); no position sensor; sliding mode observer (SMO); model reference adaptive system (MRAS); Luenberger observer (LO); extended Kalman filter (EKF); unscented Kalman filter (UKF) ; high frequency injection method (HFIM)
     
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