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Research on Internal Model Control of Induction Motors Based on Luenberger Disturbance Observer
IEEE Transactions on Power Electronics ( IF 6.7 ) Pub Date : 2020-12-31 , DOI: 10.1109/tpel.2020.3048429
Zhonggang Yin , Cong Bai , Na Du , Chao Du , Jing Liu

Internal model control (IMC) has been used widely for its less computational burden, and simple implementation. By IMC, the disturbance including model mismatch, parameter variations, and other unstructured dynamic uncertainties cannot be eliminated effectively in the induction motor (IM) control system. To optimize the current-control performance of IM drives, a nonlinear current-control algorithm for the IM systems using IMC strategy based on a Luenberger disturbance observer (IMC-LDO) is proposed in this article. The time-varying disturbance has been considered in the IM system. Based on this system, the proposed method is derived, where a LDO is introduced to estimate the disturbance. To tune the proposed scheme properly, a stability analysis based on Jury criterion has been used to determine the selection of the observer gain. Comparative experimental results indicate that the proposed method improves the dynamic property and the robustness in case of parameter variations and step load change. The feasibility and effectiveness of the proposed method are verified by the experimental results.

中文翻译:

基于Luenberger扰动观测器的感应电动机内模控制研究。

内部模型控制(IMC)因其较少的计算负担和简单的实现而被广泛使用。通过IMC,在感应电动机(IM)控制系统中无法有效消除包括模型不匹配,参数变化和其他非结构化动态不确定性在内的干扰。为了优化IM驱动器的电流控制性能,本文提出了一种基于Luenberger干扰观测器(IMC-LDO)的,采用IMC策略的IM系统非线性电流控制算法。IM系统中已考虑了随时间变化的干扰。基于该系统,推导了所提出的方法,其中引入了LDO来估计干扰。为了适当地调整提出的方案,已使用基于Jury准则的稳定性分析来确定观察者增益的选择。对比实验结果表明,该方法在参数变化和阶跃负载变化的情况下提高了动态性能和鲁棒性。实验结果验证了该方法的可行性和有效性。
更新日期:2021-03-10
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