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Fuzzy MRAS rotor resistance identification of bearingless induction motor based on reactive power
International Journal of Applied Electromagnetics and Mechanics ( IF 1.1 ) Pub Date : 2020-11-02 , DOI: 10.3233/jae-200018
Wenshao Bu 1 , Fei Zhang 1 , Youpeng Chen 2 , Xiaofeng Zhang 2
Affiliation  

As for the inverse decoupling control system of a bearingless induction motor (BL-IM), in order to eliminate the influence of rotor resistance variation on its control performance, on the basis of the reactive power calculation of torque system, a novel fuzzy model reference adaptive (MRAS) identification method of rotor resistance is proposed. The reference model and adjustable model of instantaneous reactive power are derived in detail. In order to improve the identification performance of rotor resistance, a fuzzy PI adaptive law based on popov super stability theory is constructed. On this basis, a rotor resistance identifier is constructed, and it is used to on-line correct the rotor resistance parameter in the inverse system mathematical model of a BL-IM system. Based on the inverse decoupling control system of a BL-IM, the simulation experimental analysis and verification are carried out. The simulation experimental results have shown that when the proposed identification method of rotor resistance is used, not only the identification- and tracking-speed of rotor resistance can be effectively improved, but also the identification accuracy of rotor resistance can be improved; as for the BL-IM system, after the rotor resistance parameter is on-line corrected, not only the inverse dynamic decoupling control performance can be effectively improved, but also the robustness of BL-IM system to the variation of rotor resistance parameters can be improved.

中文翻译:

基于无功功率的无轴承感应电动机模糊MRAS转子电阻辨识

对于无轴承异步电动机(BL-IM)的逆解耦控制系统,为消除转子电阻变化对其控制性能的影响,在转矩系统无功计算的基​​础上,提出了一种新型的模糊模型参考。提出了转子电阻的自适应(MRAS)辨识方法。详细推导了瞬时无功功率的参考模型和可调模型。为了提高转子电阻的辨识性能,建立了基于popov超稳定性理论的模糊PI自适应律。在此基础上,构造了转子电阻识别器,并用于在线校正BL-IM系统逆系统数学模型中的转子电阻参数。基于BL-IM的逆解耦控制系统,进行了仿真实验分析和验证。仿真实验结果表明,采用本文提出的转子电阻识别方法,不仅可以有效提高转子电阻的识别速度和跟踪速度,而且可以提高转子电阻的识别精度。对于BL-IM系统,在线校正转子电阻参数后,不仅可以有效提高逆动态解耦控制性能,而且可以提高BL-IM系统对转子电阻参数变化的鲁棒性。改善。不仅可以有效提高转子电阻的识别速度和跟踪速度,而且可以提高转子电阻的识别精度。对于BL-IM系统,在线校正转子电阻参数后,不仅可以有效提高逆动态解耦控制性能,而且可以提高BL-IM系统对转子电阻参数变化的鲁棒性。改善。不仅可以有效提高转子电阻的识别速度和跟踪速度,而且可以提高转子电阻的识别精度。对于BL-IM系统,在线校正转子电阻参数后,不仅可以有效提高逆动态解耦控制性能,而且可以提高BL-IM系统对转子电阻参数变化的鲁棒性。改善。
更新日期:2020-11-06
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