Optimization of Control Strategy and Dynamic Response Performance Analysis of Surface-mounted Permanent Magnet Synchronous Motor

Peng Wang; Guanghui Wang; Jingxuan Wang

doi:10.6919/ICJE.202505_11(5).0058

Authors

Peng Wang
Guanghui Wang
Jingxuan Wang

DOI:

https://doi.org/10.6919/ICJE.202505_11(5).0058

Keywords:

Surface-Mounted Permanent Magnet Synchronous Motor; Control Strategy; Dynamic Response Performance; Model Predictive Control.

Abstract

In this paper, the control strategy of Surface-mounted permanent magnet synchronous motor (SPMSM) is optimized, and its dynamic response performance is deeply analyzed. SPMSM is widely used in many fields because of its advantages of high efficiency, energy saving and high power density, but the traditional control strategy has shortcomings in complex working conditions. Therefore, an optimization method based on model predictive control (MPC) is proposed in this paper, which aims at accelerating dynamic response, reducing steady-state error and enhancing system robustness. By establishing the mathematical model of SPMSM, designing the prediction model and cost function, the quadratic programming algorithm is used to optimize the control input in each control cycle, and the rolling optimization is realized. The simulation results show that compared with traditional PI control, MPC control strategy significantly reduces the overshoot in step response (from 12% to 2%), shortens the adjustment time (from 0.25 seconds to 0.12 seconds), and shows higher accuracy and stability in dynamic tracking performance, and the root mean square error (RMSE) is reduced by 68%. This proves the superiority of MPC in improving the dynamic response performance and system stability of SPMSM, provides strong support for the reliable operation of the motor under complex working conditions, and also provides theoretical basis for the technical progress in related fields.

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References

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