通过拉盖尔函数改进 PMSM 的模型预测速度控制

4区工程技术 Q1 Mathematics

Mathematical Problems in Engineering Pub Date : 2024-03-21 DOI:10.1155/2024/5562771

Chala Merga Abdissa

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引用次数: 0

摘要

本文通过应用拉盖尔函数，为表面贴装式永磁同步电机提出了一种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。应用二次编程程序在线解决约束优化问题。本文还提供了稳定性解决方案。通过与最优线性二次调节器、传统状态空间模型预测控制和带积分作用的简单 MPC 算法的性能进行比较，验证了所提方案的性能效率。大量的仿真结果证实了所提方案的有效性，表明它在保持快速动态响应的同时，还实现了良好的稳态性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Improved Model Predictive Speed Control of a PMSM via Laguerre Functions

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.

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来源期刊

Mathematical Problems in Engineering 工程技术-工程：综合

CiteScore

4.00

自引率

0.00%

发文量

2853

审稿时长

4.2 months

期刊介绍： Mathematical Problems in Engineering is a broad-based journal which publishes articles of interest in all engineering disciplines. Mathematical Problems in Engineering publishes results of rigorous engineering research carried out using mathematical tools. Contributions containing formulations or results related to applications are also encouraged. The primary aim of Mathematical Problems in Engineering is rapid publication and dissemination of important mathematical work which has relevance to engineering. All areas of engineering are within the scope of the journal. In particular, aerospace engineering, bioengineering, chemical engineering, computer engineering, electrical engineering, industrial engineering and manufacturing systems, and mechanical engineering are of interest. Mathematical work of interest includes, but is not limited to, ordinary and partial differential equations, stochastic processes, calculus of variations, and nonlinear analysis.