| 基于ESO的超局部无模型PMSM转速预测控制 |
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| 引用本文： | 许令亮,陈桂明,李乔扬.基于ESO的超局部无模型PMSM转速预测控制[J].北京航空航天大学学报,2022,48(11):2204-2214. |
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| 作者姓名： | 许令亮 陈桂明 李乔扬 |
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| 作者单位： | 火箭军工程大学 作战保障学院, 西安 710025 |
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| 基金项目： | 军内科研项目20191C050239 |
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| 摘 要： | 针对永磁同步电机(PMSM)由于参数变化和外界干扰导致控制性能下降的问题, 提出了一种基于扩展状态观测器(ESO)的超局部无模型转速预测控制(MFSPC)方法, 并解决了数字系统中的一拍延迟问题。该方法仅利用速度环的输入和输出, 不考虑电机参数, 避免了因电机参数变化导致的模型失配。针对传统MFSPC方法参数调整多、工作量大、输出脉动大、抖振明显、抗干扰性和鲁棒性差的问题, 建立了ESO, 实时监测系统的总扰动, 并进行前馈补偿。利用ESO产生的转速预测, 解决了数字控制系统中的一拍延时问题, 并基于频域分析, 整定控制参数, 提高控制性能。实验结果分析表明:所提方法有较强的抗干扰性和鲁棒性, 能够稳定跟踪额定转速, 有较快的动态响应。
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| 关 键 词： | 永磁同步电机 超局部 无模型转速预测控制 模型失配 扩张状态观测器 鲁棒性 |
| 收稿时间： | 2021-02-22 |
Ultra-local model-free speed predictive control based on ESO for PMSM |
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| Affiliation: | College of Combat Support, Rocket Force University of Engineering, Xi'an 710025, China |
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| Abstract: | An ultra-local model-free speed predictive control (MFSPC) method based on an extended state observer (ESO) is proposed to address the control performance decrease of permanent magnet synchronous motor (PMSM) due to parameter changes and external disturbances, and to solve the one-step delay problem in digital systems. This method reduces the model mismatch caused by motor parameter changes, using only the input and output of speed loops without motor parameters. The ESO is established to overcome the problems of the traditional MFSPC method which adjusts many parameters with large workload and output pulsation, obvious chattering, and low anti-interference and robustness. The ESO monitors the total disturbance of the system in real time, and performs feedforward compensation. It also addresses the beat delay problem in the digital control system, using the generated speed prediction, and sets the control parameters to improve control performance based on frequency domain analysis. Experimental results show that the proposed method has strong anti-interference and robustness, can track the rated speed steadily, and has faster dynamic response. |
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