永磁同步馬達的模糊電流控制器之設計

Design for Fuzzy Logic Current Controller of PMSM

蕭順治(Shun-Zhi Xiao)

指導教授 ： 賴玲瑩

中原大學/工學院/電機工程研究所/碩士(2002年)

https://doi.org/10.6840/cycu200200511

摘要

本文探討模糊–比例積分(Fuzzy-PI)控制器應用於永磁同步馬達電流控制之可行性。永磁同步馬達的馬達參數具有隨輸入增減而微量改變的特質，而模糊控制對於受控體未知的情況下亦能達到良好的輸出響應。本控制器的架構是以Fuzzy控制器的輸出作為原PI控制器回授誤差之修正量。而在控制器最佳化部分，乃同時將 規則庫、三角形歸屬函數的底部參數以及PI控制器的增益值皆納入搜尋，並以適應性基因演算法(Adaptive Genetic Algorithm，簡稱AGA)進行參數搜尋的工作，其適應性交配率與突變率公式可避免落入區域極值而加速收斂。最後模擬部分使用套裝軟體Matlab予以實現。結果顯示、Fuzzy-PI控制器在馬達參數變動的情況下具有高強健性及低靈敏度，而以AGA設計之最佳Fuzzy-PI控制器將可快速地追隨到電流命令並確保相對於適應函數之最佳性能。

關鍵字

適應性基因演算法 ； 模糊理論 ； 永磁同步馬達 ； 模糊-比例積分控制器 ； 遞迴最小平方法

並列摘要

Investigated in this thesis, the possibility of using Fuzzy-PI controller in current control of Permanent Magnet Synchronous Motor (PMSM). The parameters of PMSM will change slightly with different input levels. And fuzzy control can achieve good output response even when the plant is unknown. Thus, a fuzzy controller is used to adjust the error of the input signal of the original PI controller. As for the optimization of the proposed controller, the 5×5 consequent variables of the control rule table, the vertexes at the base of the triangular-shaped membership functions and the initial setting of the parameters of the PI controller are all included in searching parameters, which are chosen by an adaptive genetic algorithm (AGA). The use of AGA can avoid falling into local optimum and speed up the convergence. Simulations through Matlab show that Fuzzy-PI controller posses high robustness and low sensitivity. Furthermore, the Fuzzy-PI controller optimized by AGA can follow current command quickly and assure the best performance according to their fitness functions.

並列關鍵字

Fuzzy-PI Controller ； Adaptive Genetic Algorithm ； Fuzzy ； Permanent Magnet Synchronous Motor ； Recursive Least Squares Algorithm

參考文獻

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