基於改良式粒子群演算法之永磁同步馬達控制器設計

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陳威融(WEI-JUNG CHEN) 查詢紙本館藏

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電機工程學系

論文名稱

基於改良式粒子群演算法之永磁同步馬達控制器設計
(Design of Permanent Magnet Synchronous Motor Controller Based on Improved Particle Swarm Optimization)

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摘要(中)

本文提出了一個改良式的粒子群演算法，稱為排名切換式粒子群演算法(Rank Switching Self-Learning Particle Swarm Optimization, RSLPSO)，利用排名機制及切換機制，來選擇粒子在每個迭代時期最適合的更新公式，有效的加快粒子的收斂速度，並且將低了運算量，並加入了學習機制，讓粒子之間的交流可以更頻繁，有效的做經驗交流，增加粒子的多樣性，使得粒子不易落入區域最佳解中。本論文使用16個測試函數來測試提出的改良式粒子群演算法的效能，而測試結果顯示，本論文所提出的改良法能夠在大部分的測試函數下表現優異，最後應用在交流馬達控制器的參數搜索，及時的找到馬達在每個取樣時間所需要的最佳控制器參數，來提升馬達的運動表現，而從馬達的響應圖中可以分析出使用本論文所提出的粒子群演算法可以有效的找到最佳的控制器參數。

摘要(英)

This thesis proposes an improved particle swarm algorithm called Rank Switching Particle Swarm Optimization (RSLPSO), which uses a ranking mechanism and a switching mechanism to select the suitable update formula at each iteration time, effectively speed up the convergence of particles, and will reduce the amount of computation, and add a learning mechanism, so that communication between particles can be more frequent, effective experience exchanges, increase the diversity of particles, making particles not easily fall into the local optimum. In this dissertation, 16 test functions are used to test the performance of the proposed improved particle swarm algorithm. The test results show that the improved method proposed in this paper can perform well under most of the test functions. Finally, it is applied to the parameter search of the AC motor controller to find the best controller parameters needed by the motor at each sampling time in order to improve the motor′s performance. From the motor′s response graph, it can be analyzed the proposed particle swarm algorithm can effectively find the best controller parameters.

關鍵字(中)

★ 粒子群演算法
★ 馬達驅動控制

關鍵字(英)

論文目次

摘要 I
Abstract II
致謝 III
目錄 IV
圖目錄 VI
表目錄 VIII
第一章緒論 1
1.2論文架構 2
第二章粒子群演算法 3
2.1 傳統粒子群演算法介紹 3
2.2 傳統粒子群演算法的基本公式 3
2.3 慣性權重 4
第三章 8
3.1 經驗的傳承 8
3.1.1 粒子間的交流 8
3.1.2 自我學習機制 9
3.2 改良式演算法搜尋策略 13
3.2.1 切換機制介紹 13
3.2.2 排名機制介紹 14
3.3 排名切換自我學習粒子群演算法 14
3.4 學習函數比較 17
3.4.1 10維的比較 21
3.4.2 30維的比較 22
第四章實驗結果 24
4.1 目標函數 24
4.2 測試函數在10維下的結果 29
4.3 測試函數在30維下的結果 41
第五章 RSLPSO應用於永磁同步馬達之PI控制器參數最佳化 53
5.1 比例積分控制器設計 53
5.2 永磁同步馬達數學模型 54
5.3 馬達轉速估測方程式 55
5.4 RSLPSO控制器模擬 56
5.5 結果與討論 59
第六章總結與未來展望 63
6.1 結論 63
6.2 未來展望 63
參考文獻 64

參考文獻

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指導教授

莊堯棠

審核日期

2018-6-26

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