Vector Control of Permanent Magnet Synchronous Motor forElectric Vehicle Based on Fuzzy Neural Network
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(School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China)

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    Abstract:

    The electric vehicle control system requires good motor control performance. A permanent magnet synchronous motor vector control scheme based on fuzzy neural network was presented. The fuzzy neural network controller was used as the current regulator. A fuzzy controller was introduced into the speed loop, and its output was used as the limit of the current loop, so as to limit the motor speed. The results of simulation and experiment showed that the method had good torque tracking and motor speed limit performance for the complicated operation of electric vehicles.

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ZHAO Jianfei, DING Pengfei, ZHAI Xuesong. Vector Control of Permanent Magnet Synchronous Motor forElectric Vehicle Based on Fuzzy Neural Network[J]. Electric Machines & Control Application,2018,45(12):108-112.

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  • Received:July 06,2018
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  • Online: December 17,2019
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