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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2022-04-09
Improved Three Vector Model Predictive Torque Control of PMSM
By
Qianghui Xiao,

    Dr. Qianghui Xiao

    Hunan University of Technology

    China

    Homepage

Zhe Li,

    Dr. Zhe Li

    Hunan University of Technology

    China

    Homepage

Bing Luo,

    Dr. Bing Luo

    CSG Electric Power Research Institute Co. Ltd

    China

    Homepage

Tingting Wang,

    Dr. Tingting Wang

    National Engineering Laboratory for UHV Engineering Technology

    China

    Homepage

Dingdou Wen,

    Dr. Dingdou Wen

    College of Electrical and Information Engineering

    Hunan University of Technology

    China

    Homepage

Yang Zhang

    Dr. Yang Zhang

    College of Electrical and Information Engineering

    Hunan University of Technology

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 109, 217-229, 2022
doi:10.2528/PIERM21120403 | Google Scholar

Abstract
To reduce the computational complexity of traditional model predictive torque control (MPTC) and improve the sensitivity of predictive control to disturbances, an improved three vector model predictive control strategy applied in permanent magnet synchronous motor (PMSM) is proposed. First, the principle of deadbeat synchronization between torque and flux linkage is adopted to reduce six candidate vectors in traditional torque prediction to two, and the cost function is designed to select the optimal voltage vector. In addition, disturbance observation compensation is introduced to compensate for the influence of load disturbance on the control performance of the predictive model. As experimental results show, the proposed three-vector model predictive torque control can obtain small torque ripple and current harmonics both in steady state and dynamic state.
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Citation
Qianghui Xiao, Zhe Li, Bing Luo, Tingting Wang, Dingdou Wen, and Yang Zhang, "Improved Three Vector Model Predictive Torque Control of PMSM," Progress In Electromagnetics Research M, Vol. 109, 217-229, 2022.
doi:10.2528/PIERM21120403
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