智慧型垃圾桶決策進化演算法於主動式隔振系統之模糊控制器最佳化設計

AN INTELLIGENT GARBAGE CAN DECISION-MAKING MODEL EVOLUTION ALGORITHM IN OPTIMAL DESIGN OF FUZZY CONTROLLER OF ACTIVE VIBRATION ISOLATION SYSTEMS

本文以差分進化演算法為搜尋機制（Differential Evolution Algorithm, DE），採用垃圾桶決策模式為邏輯架構，提出智慧型垃圾桶決策之進化演算法（IGCMEA），以演算法之族群系統模擬人類社會組織，在進行決策的過程中，遇到問題與目標不明確、方法不明確及人員流動性等問題等情境時，與與會各方代表人員相互溝通、互斥、妥協與轉化，研擬對應之解決方針，並採用分組與分群之研議機制，進行較客觀、合理且迅速確實的擇優方式。本文最後利用IGCMEA以模糊邏輯控制理論設計模糊控制器，於隨機負荷下，進行主動式動態隔振系統之隔振分析模擬，並檢視隔振效果及控制曲面變化特性，結果說明IGCMEA具有卓越的尋優性能。 In this paper, a differential evolution algorithm (DE) was used to be the search mechanism and a garbage candecision-making model was a logical framework, an Intelligent Garbage Can Decision-Making Model EvolutionAlgorithm (IGCMEA) was proposed to simulate the human social organization based on the hierarchical system. In adecision-making process, when faced with issues such as unclear goals and technologies, participators turnover, etc.,representatives of all participating parties will communicate, argue, compromise and adapt with each other, in order tofind a solution to the problems. Group meetings are conducted to choose the best solution in a more objective,reasonable and efficient way.At last, we used IGCMEA to optimize the fuzzy controller with fuzzy logic control theory. Under the randomexciting load, we carried out one numerical simulation of the vibration isolation of an active vibration isolationsystem and investigated the effect of vibration isolation and the rule surface of the controller. The result demonstratedthat IGCMEA possesses an excellent search performance.