Experimental Study on Application of Genetic Algorithm to Structural Active Control
Date Issued
2005
Date
2005
Author(s)
Kao, Hwa-Hsuan
DOI
zh-TW
Abstract
近年來人工智慧蓬勃發展，例如：類神經網路、模糊理論以及基因演算法。其中基因演算法是由進化論中所提出的「物競天擇，適者生存」之觀念發展而來，近年來已廣泛應用在各個領域上，也包含應用在控制領域。
有鑑於基因演算法在最佳化領域之獨特優點，本研究將其應用於結構主動控制理論，利用基因演算法作為最佳化之工具，來搜尋計算控制力所需的回饋增益矩陣，以降低結構在地震作用下所產生的反應；並且改變一般主動控制之回饋資料，改善主動控制系統之裝置設備，進行試驗研究來驗證理論之可行性，使主動控制系統更適於實際工程應用。
The development of Artificial Intelligence is growing rapidly in recent years, such as Neural Networks, Fuzzy Logic and Genetic Algorithm. Genetic Algorithm, derived from Evolutionism, has been applied effectively and significantly as an optimized search technique in various fields, including in the field of control design.
According to the unique characteristics of the optimization of Genetic Algorithm, this research, combined with the Genetic Algorithm and active-control theory, used the optimization of the Genetic Algorithm to get the feedback-gain matrix and then calculate the control force. The control method which uses Genetic Algorithm is proposed to reduce the responses of a structure under seismic excitation. We tried to change the feedback information, improve the equipments of active-control system and proceed with experimentation to test and verify the practicability of the active-control theory in order to deem the active-control system suitable for the application of practical construction projects.
Subjects
主動控制
結構控制
基因演算法
人工智慧
active control
Structural Active Control
Genetic Algorithm
Artificial Intelligence
Type
thesis