基于超局部模型的基础上,改进了无级联模型的预测速度控制,用于PMSM速度波纹最小化
Zheng Sun1, Yongting Deng2, Jianli Wang1
1Changchun Institute of Optics, Fine Mechanic and Physics, Chinese Academy of Science, Changchun, Jilin 130033, China; The University of Chinese Academy of Sciences, Beijing 100049, China.
ISA transactions
|October 20, 2023
概括
这项研究引入了一种改进的无模型预测控制,用于永久磁同步电机 (PMSM) 的平滑转速. 增强的级联控制策略有效地抑制干扰,以保持强大的性能.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 电力电子 电力电子 电力电子
背景情况:
- 常磁同步电机 (PMSM) 广泛使用,但由于干扰,容易受到速度波动的影响.
- 现有的控制方法往往在强大的干扰抑制和平稳的速度调节方面扎.
研究的目的:
- 为PMSM系统开发一个改进的级联模型免费预测控制策略.
- 通过抑制周期性和非周期性干扰来增强速度的平滑性和控制器的稳定性.
主要方法:
- 一个带有外部速度循环和内部电流循环的级联控制结构,使用无模型预测控制 (MFPC).
- 有限控制集 无模型预测电流控制 (FCS-MFPCC) 用于定位器电流调节.
- 连续控制组 无模型预测速度控制 (CCS-MFPSC) 用于速度控制,与改进的并行准共振控制器 (QRC) 集成用于干扰补偿.
主要成果:
- 拟议的级联MFPC策略有效地抑制周期性和非周期性干扰.
- 将CCS-MFPSC与QRC集成,确保了流的速度控制,并利用了电流循环控制器的动态性能.
- 在z-domain中的稳定性分析证实了MFPSC-QRC战略的稳定性.
结论:
- 开发的无级联模型预测速度和电流控制策略对于PMSM应用是有效和可行的.
- 该战略通过卓越的干扰抑制能力实现了平稳的速度运行.
- 这种方法为PMSM控制提供了增强的稳定性和动态性能.
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