臺灣博碩士論文加值系統

本文主要以改進的遺傳演算法( Modified Genetic Algorithms，簡
稱MGA) 來設計一監測控制系統，做系統參數監測與控制器參數的自動調
整，並以無刷直流馬達(Brushless DC Motor，簡稱BLDCM)為例來加以說
明。所謂改進的遺傳演算法，就是將原來的簡易遺傳演算法與基因移民、
基因毀滅、菁英政策等修正技巧相結合，成為一搜尋效率更高的方法。接
著應用此方法做系統鑑別與控制器參數搜尋，其中控制器的設計使用迴授
線性化的技巧。最後更將改進的遺傳演算法應用到閉迴路控制中，藉以線
上監測隨溫度而改變的馬達參數相電阻與最大磁通鍵，並自動微調控制器
參數以維持希望的控制性能。由電腦模擬可知，監測控制的方法是可行的
、有效的。

In this thesis, we study monitoring and control for abrushless
direct current motor (BLDCM) using a modified genetic algorithm
(MGA). The MGA has combined a simplegenetic algorithm that
includes operations of reproduction,cross-over and mutation with
techniques of gene-immigration,gene-extinction and elitist to
become a more efficient methodfor parameter search. This MGA is
used to identify the valuesof the system parameters of a BLDCM
first. Then a controlleris designed for the BLDCM by using a
feedback linearizationtechnique. Control parameters are also
tuned by the MGA. Inthe closed-loop system operation, the MGA is
further appliedautomatically to monitor the change of system
parameters ofphase-resistance and maximum flux-linkage due to
the changeof temperature and to adjust control parameters
accordingly sothat required control performance can be
maintained. Computersimulation demonstrates the effect and the
feasibility of theproposed control method.