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论文:2023,Vol:41,Issue(5):860-870 |
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引用本文： |
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张玉峰, 吴紫辉, 闫琪, 黄楠, 杜光辉, 贺虎成, 周勇. 永磁同步电机无参数三矢量模型预测电流控制[J]. 西北工业大学学报 |
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ZHANG Yufeng, WU Zihui, YAN Qi, HUANG Nan, DU Guanghui, HE Hucheng, ZHOU Yong. Nonparametric three-vector model predictive current control for permanent magnet synchronous motor[J]. Journal of Northwestern Polytechnical University |
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| 永磁同步电机无参数三矢量模型预测电流控制 |
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| 张玉峰1, 吴紫辉1, 闫琪1, 黄楠1, 杜光辉1, 贺虎成1, 周勇2 |
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1. 西安科技大学 电气与控制工程学院, 陕西 西安 710054;
2. 西北工业大学 航空学院, 陕西 西安 710072 |
| 摘要: |
| 永磁同步电机多矢量模型预测控制能够有效改善传统单矢量模型预测控制存在的电流脉动大、控制精度有限等不足,但其控制性能更易受电机参数摄动的影响。为提升多矢量预测控制算法在电机参数摄动下的鲁棒性,提出一种永磁同步电机无参数三矢量模型预测电流控制算法。通过构建基于永磁同步电机输入输出信号的超局部预测电流模型,避免了电流预测受电机本体参数的影响,同时设计了扰动观测器对超局部模型中未建模与扰动部分进行估计。此外,引入基于电流误差的矢量占空比直接计算法,抑制电机参数摄动对占空比计算环节的不确定性影响,进一步提高了系统鲁棒性。与传统有参数三矢量模型预测电流控制进行仿真和实验对比,结果显示所提策略能够有效抑制电机参数变化所带来的系统扰动,保证了电机运行时的稳态性能。 |
| 关键词:
永磁同步电机
无参数
超局部模型
扰动观测
三矢量
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| Nonparametric three-vector model predictive current control for permanent magnet synchronous motor |
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| ZHANG Yufeng1, WU Zihui1, YAN Qi1, HUANG Nan1, DU Guanghui1, HE Hucheng1, ZHOU Yong2 |
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1. School of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an 710054, China;
2. School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| Multi-vector model predictive control of permanent magnet synchronous motor can effectively overcome the shortcomings of conventional single-vector model predictive control such as large motor current ripples and limited control accuracy, but its control performance is more susceptible to the influence of motor parameter perturbation. To improve the robustness of the multi-vector predictive control algorithm under the motor parameter perturbation, a novel nonparametric three-vector model predictive current control method for permanent magnet synchronous motors is proposed in this paper. Through constructing an ultra-local predictive current model based on the input and output signals of the permanent magnet synchronous motor, the influence of motor parameter perturbation on current prediction is avoided, and a disturbance observer is designed to estimate the non-modeled and perturbed parts of the ultra-local model. In addition, the direct calculation method of vector duty cycles based on current error is introduced to suppress the influence of motor parameter uncertainty on the duty cycle calculation link, which further improves the system robustness. Finally, simulations and experiments of the proposed method are demonstrated to compare with the conventional parametric three-vector model predictive current control, and the results show that the proposed control strategy can effectively suppress the disturbances caused by the motor parameters and ensure the steady-state performance during motor operation. |
| Key words:
PMSM
nonparametric
ultra-local model
disturbance observer
three vector
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| 收稿日期: 2022-10-08
修回日期:
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| DOI: 10.1051/jnwpu/20234150860 |
| 基金项目: 国家自然科学基金(52177056)资助 |
| 通讯作者:
Email： |
| 作者简介: 张玉峰(1977—),西安科技大学副教授,主要从事永磁同步电机设计及控制研究。e-mail:xkdzhangyufeng@xust.edu.cn。
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| 相关功能 |
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| 作者相关文章 |
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| 张玉峰 在本刊中的所有文章 |
| 吴紫辉 在本刊中的所有文章 |
| 闫琪 在本刊中的所有文章 |
| 黄楠 在本刊中的所有文章 |
| 杜光辉 在本刊中的所有文章 |
| 贺虎成 在本刊中的所有文章 |
| 周勇 在本刊中的所有文章 |
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