Direct Torque Control System of Surface Permanent Magnet Synchronous Motor Based on Bivariate Predictive Control
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(School of Automobile, Chang’an University, Xi’an 710064, China)

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    Abstract:

    Based on flux and torque’s expressions of surface permanent magnet synchronous motor (SPMSM) direct torque control (DTC) system using the amplitude and angle of applying voltage vector as variables, 9 voltage vectors with different amplitudes and angles were used as selectable voltage vectors and values of stator flux and torque at next sampling point after applying these voltage vectors were given using predictive control. Object function based on flux and torque’s errors was proposed. The predictive control of the SPMSM DTC system selects the applying voltage vector which aims to minimize object function. Simulation results showed that compared with switching table, the average value of evaluation function was reduced by 60.30% and root mean square errors (RMSEs) of torque and flux’s ripples were reduced by 62.92% and 45.05%. Compared with fixed voltage vector selection strategy, the average value of evaluation function was reduced by 15.93% and RMSEs of torque and flux’s ripples were reduced by 22.40% and 3.85%. Therefore, compared with switching table and fixed voltage vector selection strategy, the proposed strategy could reduce evaluation function, stator flux and torque’s errors.

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LI Yaohua, MENG Xiangzhen, SHI Haohao, REN Jiayue, YANG Qidong, QU Yafei. Direct Torque Control System of Surface Permanent Magnet Synchronous Motor Based on Bivariate Predictive Control[J]. Electric Machines & Control Application,2019,46(6):15-20.

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History
  • Received:December 24,2018
  • Revised:
  • Adopted:
  • Online: December 02,2019
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