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基于复合自适应无位置观测器的PMSM改进预测函数控制

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针对永磁同步电机(PMSM)伺服控制系统中由外部扰动、参数失配及位置传感器带来的测控量化误差等致使传统预测函数控制(PFC)应用于转速控制时效果较差的问题,采用复合自适应无位置观测器的优化预测函数控制方法,以模型参考自适应控制(MRAC)结合扩张状态观测器(ESO)构建复合自适应观测器以提升无位置传感器观测精度及抗扰动性,准确检测出转子信息,并将其作为预测函数控制器的前馈补偿,实现了对整体伺服系统的快速、高性能控制.实验结果表明,在负载和转速突变情况下,改进型预测函数控制在响应速度与扰动抑制方面具有可行性和优越性.
Improved prediction function control of PMSM based on composite adaptive locationless observer
Aiming at the problem of poor performance of tradi-tional predictive function control (PFC) in speed control due to external disturbances,parameter mismatches,and meas-urement and control quantization errors caused by position sensors in the servo control system of permanent magnet syn-chronous motor (PMSM),an optimized predictive function control method was used by using a composite adaptive posi-tion observer. The composite adaptive observer was construc-ted by combining model reference adaptive control (MRAC) with extended state observer (ESO) to improve the location-less observer observation accuracy and disturbance resistance,accurately detected rotor information,and used it as feedfor-ward compensation for the predictive function controller,which achieved fast and high-performance control of the over-all servo system. The experimental results show that the im-proved predictive function control has feasibility and superiori-ty in response speed and disturbance suppression under sud-den changes in load and speed.

permanent magnet synchronous motor(PMSM)predictive function controlmodel reference adaptiveextended state observer (ESO)

牛小兵、齐乃森、胡晓明、周鑫

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大连海事大学 船舶电气工程学院,辽宁 大连 116026

永磁同步电机(PMSM) 预测函数控制 模型参考自适应 扩张状态观测器(ESO)

2024

大连海事大学学报
大连海事大学

大连海事大学学报

CSTPCD北大核心
影响因子:0.469
ISSN:1006-7736
年,卷(期):2024.50(3)