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研究生:李俊發
研究生(外文):Chun-Fa Li
論文名稱:感應電動機模糊定位控制器設計
論文名稱(外文):Design of Fuzzy Position Controller for Induction Motor
指導教授:黃培華黃培華引用關係
指導教授(外文):Pei-Hwa Huang
學位類別:碩士
校院名稱:國立海洋大學
系所名稱:電機工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:104
中文關鍵詞:模糊邏輯控制器三相感應電動機Sugeno型式模糊法則適應性網路模糊推論系統
外文關鍵詞:Fuzzy logic controllerThree-phase induction motorSugeno type fuzzy rulesAdaptive network-based fuzzy inference system (ANFIS)
相關次數:
  • 被引用被引用:2
  • 點閱點閱:180
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
本論文主要目的在於將模糊理論應用於三相感應電動機的定位控制器設計。本論文首先應用Mamdani模糊推論法建立初步控制規則庫,並依據此輸出入數據資料,配合適應性網路模糊推論系統,再求解出Sugeno型式的模糊法則,作為以電動機位置誤差量及位置誤差變化量作為輸入變數的定位控制器之控制規則庫。該控制器並配合自校正調整機制,以進一步在線上即時改善系統之響應。文中設計一套三相感應電動機定位控制實驗系統,以驗證本論文提出的模糊控制器在不同操作情況下,確實具備對負載變動的強健性。
The main purpose of this thesis is to study the design of a fuzzy position controller for the three-phase induction motor. In the thesis, a preliminary set of control rules is constructed using Mamdani type of inference system and a set of Sugeno type fuzzy control rules is then obtained from the input-output data set by employing the Adaptive Network-based Fuzzy Inference System (ANFIS). This set of Sugeno type fuzzy control rules, with the position error and the change of position error being input quantities, forms the position controller for the three-phase induction motor. Moreover, the self-tuning mechanism is applied to improve the system performance on line and real time. Through an experimental motor control system for the three-phase induction motor, the proposed fuzzy logic controller has been tested under several different operating conditions. The results illustrate that the proposed fuzzy controller has the features of robustness to load variation.
第1章 緒論 1
1-1 背景與動機 1
1-2 研究目的 3
1-3 章節概述 4
第2章 模糊控制器設計 5
2-1 模糊邏輯控制 5
2-1-1 模糊推論機 6
2-2 傳統模糊邏輯控制器之設計 9
2-2-1 輸出入變數的訂定 9
2-2-2 控制知識庫的建立 10
2-3 適應性網路模糊推論系統 16
2-4 自校正模糊控制器 19
2-5 比例因子自校正的模糊控制器設計 22
第3章 實驗系統與設計 24
3-1 座標轉換 24
3-2 感應馬達d-q軸數學模式 25
3-3 實驗系統架構 27
3-3-1 硬體部份 27
3-3-2 軟體部份 31
3-3-3 實驗系統 33
3-3-4 適應性網路模糊推論系統在控制器設計中的運用 34
3-3-5 比例因子自校正在實驗系統中的製作 38
第4章 實驗結果與分析 40
4-1 Mamdani Type 與 Sugeno Type 的模糊推論法 40
4-2 實驗與結果 41
4-2-1 基本模糊邏輯控制器 42
4-2-2 自校正模糊邏輯控制器 53
第5章 結論 64
5-1 研究成果 64
5-2 未來發展方向 65
參考文獻 66
附錄A 69
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