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    张晓华

    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:哈尔滨工业大学
    • 学位:博士
    • 所在单位:电气工程学院
    • 学科:电力电子与电力传动
    • 办公地点:大连市高新区凌工路 2 号电气楼 405 室
    • 联系方式:xh_zhang@dlut.edu.cn
    • 电子邮箱:xh_zhang@dlut.edu.cn

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    Super-Twisting Sliding Mode Observer-Based IPMSM Sensorless Control Strategy Considering VSI Nonlinearity

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    论文类型:会议论文

    发表时间:2019-01-01

    收录刊物:EI、CPCI-S

    页面范围:3978-3983

    关键字:permanent magnet synchronous machine; sensorless control; super-twisting sliding mode observer; voltage-source inverter nonlinearity compensation

    摘要:In order to improve the accuracy and stability of conventional position estimation with interior permanent magnet synchronous motors (IPMSMs), this paper develops a super-twisting sliding mode observer (ST-SMO)-based speed-sensorless control strategy, in which the voltage source inverter (VSI) nonlinearity is taken into account. The proposed ST-SMO works by estimating the stator currents of the motor and obtaining the position using a phase locked loop. Moreover, since the mismatch between the reference and the actual voltages caused by VSI non-linearity may result in not only estimation errors but also system instability, especially in the low speed range, the voltage distortion resulted from the deadtime nonlinearity in the VSI is compensated using the high frequency harmonic component extraction method to further improve the accuracy of the ST-SMO and maximum torque per ampere operation of the IPMSM. Extensive simulation results verify the effectiveness of the proposed algorithm.