改良式模糊粒子群演算法及其在螺旋電感最佳化設計之應用

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姓名

黃大鎔(Da-Rong Huang) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

改良式模糊粒子群演算法及其在螺旋電感最佳化設計之應用
(Adaptive Weighted Fuzzy Particle Swarm Optimization and Its Application on the Design of the Spiral Inductor)

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摘要(中)

本篇論文中，我們提出了一種改良式的粒子群演算法，名為改良式模糊粒子群演算法AWFPSO (Adaptive Weighted Fuzzy Particle Swarm Optimization)，將使用模糊規則調適加速因子(C_(1 )、C_2)的AFPSO (Adaptive Fuzzy Particle Swarm Optimization)以及使用歸屬函數當作粒子權重的FPSO (Fuzzy Particle Swarm Optimization)作結合，並且應用在射頻積體電路(Radio Frequency Integrated Circuits，RFIC)的螺旋(Spiral)電感之最佳化設計。藉由模糊理論來調適粒子群演算法的加速因子，目的是希望能不斷的拓展搜索範圍以及找尋新的最佳解。並且參考最佳粒子以外第二好、第三好等粒子的搜尋經驗納入考慮，使其方法能改善傳統的粒子群演算法提早落入區域最佳解的缺點。另外，為了能分析所提出的演算法效能以及適用性，我們使用16種標準測試函數來模擬並且與數十種不同的粒子群演算法做比較。經由模擬結果顯示，本論文提出的方法確實能有效的改善原始PSO (Particle Swarm Optimization)的性能，並且應用於螺旋電感上能有效提升品質因數。

摘要(英)

In this thesis, we propose a variant algorithm for Particle Swarm Optimization (PSO) which is called Adaptive Weighted Fuzzy Particle Swarm Optimization (AWFPSO). The algorithm combines two methods: AFPSO which uses fuzzy rules to adjust the acceleration parameters of PSO, and FPSO which manipulates membership function values to obtain weights. We also take the second best particle into consideration to prevent the AWFPSO from falling into local optimum too earlier. The performance of AWFPSO is compared with several PSO algorithms in the literature by utilizing sixteen benchmark functions. Finally, we apply AWFPSO to optimizing the design of the spiral inductor of Radio Frequency Integrated Circuits (RFIC). From experimental results, the proposed method improves the performance of RFIC by enhancing the quality factor of the designed spiral inductor.

關鍵字(中)

★ 粒子群演算法
★ 最佳化方法
★ 模糊理論
★ 螺旋電感

關鍵字(英)

★ PSO
★ optimization
★ fuzzy
★ spiral inductor

論文目次

摘要 I
Abstract II
目錄 IV
圖目錄 VI
表目錄 IX
第一章緒論 1
1.1研究動機 1
1.2論文架構 3
第二章粒子群演算法 4
2.1粒子群演算法簡介 4
2.2粒子群演算法基本公式與模式 4
2.3慣性權重 5
2.4模糊系統(fuzzy system)基本定義 8
2.5常見的歸屬函數介紹 9
第三章改良式模糊粒子群演算法 11
3.1 AWFPSO 11
3.1.1 fuzzy rules 調適C1 、C2 11
3.1.2 Cauchy歸屬函數當作權重 13
3.1.3 AWFPSO流程說明 14
3.2模擬實驗結果 17
3.2.1測試函數 18
3.2.2測試函數10維之結果 22
3.2.3測試函數30維之結果 33
3.2.4 AWFPSO、AFPSO、FPSO之比較 44
第四章電感元件特性介紹 45
4.1電感元件的寄生效應與損耗 45
4.2電感等效模型 45
第五章改良式模糊粒子群演算法應用於螺旋電感最佳化Q值模擬結果與分析 49
5.1模擬電感模型 49
5.2螺旋電感最佳化模擬結果 50
第六章總結與未來展望 53
6.1總結 53
6.2未來展望 54
參考文獻 55

參考文獻

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指導教授

莊堯棠(Yau-Tarng Juang)

審核日期

2016-8-3

推文