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Practical interval type-2 fuzzy self-tuning of PID controller to servo permanent magnet synchronous motor
Journal of Electrical Systems and Information Technology Pub Date : 2020-01-09 , DOI: 10.1186/s43067-019-0008-x
M. A. Abdel Ghany , M. E. Bahgat , W. M. Refaey , Soliman Sharaf

This paper implements a practical interval type-2 fuzzy self-tuning (IT2FST) of optimal PID (OPID) controller to servo permanent magnet synchronous motor (SPMSM). The proposed method IT2FST updates the OPID controller gains in an online manner to drive the SPMSM with better speed response during variable load and parameter uncertainty occurrence. In this work, the industrial SPMSM system comprises three-phase PMSM with internal break, drive and mechanical parts. Due to the incomplete real information of the SPMSM, nonlinear least square algorithm has been utilized for its model identification. A comparative analysis in a real time of the SPMSM with an OPID, type-1 fuzzy self-tuning and IT2FST for OPID controllers under the influence of parameter uncertainties and external load disturbances has been carried out. The real-time practical implementation results illustrated that the proposed IT2FST of OPID controller gives a simple opportunity to enhance the speed performance of the SPMSM than the other controllers.

中文翻译:

PID控制器对伺服永磁同步电机的实用区间2型模糊自整定

本文对伺服永磁同步电机 (SPMSM) 实施了一种实用的区间型 2 模糊自整定 (IT2FST) 最优 PID (OPID) 控制器。所提出的方法 IT2FST 以在线方式更新 OPID 控制器增益,以在可变负载和参数不确定性发生期间以更好的速度响应驱动 SPMSM。在这项工作中,工业 SPMSM 系统包括带有内部断路、驱动器和机械部件的三相 PMSM。由于SPMSM的真实信息不完整,采用非线性最小二乘算法进行模型辨识。在参数不确定性和外部负载扰动的影响下,对带有 OPID、类型 1 模糊自整定和 OPID 控制器的 IT2FST 的 SPMSM 进行了实时比较分析。
更新日期:2020-01-09
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