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Energies 2019, 12(1), 65; https://doi.org/10.3390/en12010065

On Speed Control of a Permanent Magnet Synchronous Motor with Current Predictive Compensation

1
School of Electrical Engineering, Southwest Jiaotong University, Chendu 610031, Sichuan, China
2
Department of Manufacturing and Transportation, Hangzhou Wanxiang Polytechnic College, Hangzhou 310023, Zhejiang, China
*
Author to whom correspondence should be addressed.
Received: 4 November 2018 / Revised: 25 November 2018 / Accepted: 10 December 2018 / Published: 26 December 2018
(This article belongs to the Special Issue Permanent Magnet Synchronous Machines)
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Abstract

In this study, a current model predictive controller (MPC) is designed for a permanent magnet synchronous motor (PMSM) where the speed of the motor can be regulated precisely. First, the mathematical model, the specifications, and the drive topology of the PMSM are introduced, followed by an elaboration of the design of the MPC. The MPC is then used to predict the current in a discrete-time calculation. The phase current at the next sampling step can be estimated to compensate the current errors, thereby modifying the three-phase currents of the motor. Next, Simulink modeling of the MPC algorithm is given, with three-phase current waveforms compared when the motor is operated under the designed MPC and a traditional vector control for PMSM. Finally, the speed responses are measured when the motor is controlled by traditional control methods and the MPC approach under varied speed references and loads. In comparison with traditional controllers, both the simulation and the experimental results suggest that the MPC for the PMSM can improve the speed-tracking performance of the motor and that this motor has a fast speed response and small steady-state errors under the rated load. View Full-Text
Keywords: MPC; PMSM; vector control; speed tracking MPC; PMSM; vector control; speed tracking
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Tang, M.; Zhuang, S. On Speed Control of a Permanent Magnet Synchronous Motor with Current Predictive Compensation. Energies 2019, 12, 65.

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