This paper proposes a model predictive speed control strategy for a surface-mounted permanent magnet synchronous motor by applying Laguerre functions. The model predictive controller (MPC) incorporates an integrator. A quadratic programming procedure is applied to solve the constrained optimization problem online. The paper also provides a solution for stability. The performance efficiency of the proposed scheme is validated by comparing the results with the performance of an optimal linear quadratic regulator, conventional state-space model predictive control, and a simple MPC algorithm with integral action. Extensive simulation results confirm the efficacy of the proposed scheme, showing that it achieves good steady-state performance while maintaining a fast dynamic response.

中文翻译：

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通过拉盖尔函数改进 PMSM 的模型预测速度控制

本文提出了一种应用拉盖尔函数的表面贴装永磁同步电机模型预测速度控制策略。模型预测控制器 (MPC) 包含一个积分器。应用二次规划过程来在线求解约束优化问题。论文还提供了稳定性的解决方案。通过将结果与最优线性二次调节器、传统状态空间模型预测控制和具有积分作用的简单 MPC 算法的性能进行比较，验证了所提出方案的性能效率。大量的仿真结果证实了所提出方案的有效性，表明它在保持快速动态响应的同时实现了良好的稳态性能。