| 引用本文: | 文利燕,任秋萍,姜斌,张卓然,张伟秋.基于状态预测的永磁同步电机自适应扰动抑制方法[J].控制理论与应用,2025,42(7):1294~1302.[点击复制] |
| WEN Li-yan,REN Qiu-ping,JIANG Bin,ZHANG Zhuo-ran,ZHANG Wei-qiu.A state prediction based adaptive disturbance rejection method for permanent magnet synchronous motors[J].Control Theory & Applications,2025,42(7):1294~1302.[点击复制] |
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| 基于状态预测的永磁同步电机自适应扰动抑制方法 |
| A state prediction based adaptive disturbance rejection method for permanent magnet synchronous motors |
| 摘要点击 3805 全文点击 351 投稿时间：2023-03-07 修订日期：2024-12-15 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2024.30115 |
| 2025,42(7):1294-1302 |
| 中文关键词 永磁同步电机 状态预测 自适应控制 状态跟踪 扰动抑制 |
| 英文关键词 permanent magnet synchronous motor state prediction adaptive control state tracking time-delay compensation disturbance rejection |
| 基金项目 国家重点研发计划项目(2021YF3001300)资助. |
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| 中文摘要 |
| 本文针对永磁同步电机(PMSM)电流控制系统中所存在的不确定性扰动和时延问题, 采用模型参考自适应
控制(MRAC)技术, 设计一种基于状态预测的自适应扰动抑制控制方法, 其能够保证参数不确定性情况下的系统稳
定和渐近状态跟踪性能, 同时可实现对未知扰动的有效抑制和对输入时延的精确补偿. 首先, 建立了含未知扰动和
输入时延的永磁同步电机电流控制系统数学模型; 然后, 针对永磁同步电机电流控制系统参数已知的情况, 分别进
行了标称情况下的常规扰动抑制控制设计和基于状态预测的扰动抑制控制设计; 进而, 针对永磁同步电机电流控
制系统参数未知的情况, 设计了基于状态预测的自适应扰动抑制控制器, 以实现期望的输入时延补偿和扰动抑制.
本文所设计的自适应控制方法可以保证闭环系统的稳定性能, 且当系统受未知扰动和输入时延影响时, 系统的状态
渐近跟踪期望的参考系统状态. 最后, 本文基于永磁同步电机模型进行仿真研究, 仿真结果验证了本文所设计的基
于状态预测的自适应补偿控制策略的有效性. |
| 英文摘要 |
| In this paper, a state prediction based adaptive disturbance rejection method is proposed for addressing the
uncertainty disturbance and input time-delay problems in the permanent magnet synchronous motors (PMSM), by adopting
the MRAC technique. This method can ensure the closed-loop system stabilization and asymptotic state tracking performance under parameter uncertainty, and achieve effective suppression of unknown disturbances and accurate compensation
of input time-delay. Firstly, the mathematical model of the permanent magnet synchronous motors current control system
with input time-delay and unknown disturbance is established. Then, a regular disturbance rejection design and a state
prediction based disturbance rejection design are respectively studied for the PMSM current control system under nominal
condition. Furthermore, an adaptive disturbance rejection controller based on state prediction is studied for the PMSM
current control system with unknown parameters. The adaptive control method designed in this paper enables the stabilization of a closed-loop system. The asymptotic tracking of the system state to the desired reference system can be achieved
when the system is affected by unknown disturbances and input time delay. Finally, simulation results have verified the
effectiveness of the state prediction based adaptive compensation strategy proposed in this paper. |
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