基因演算法於主動控制之應用

張嘉勻(Chia-Yun, Chang)

指導教授 ： 張國鎮

國立臺灣大學/工學院/土木工程學研究所/碩士(2004年)

https://doi.org/10.6342/NTU.2004.00631

摘要

台灣地區地震頻繁且地狹人稠，因此對地震方面的研究相當重視，除了設法想要預知地震發生的地點和時間之外，加強結構物的防震能力更是土木工程界歷年來致力研究的重點。消能減震元件一般可以分為主動控制元件和被動控制元件，目前釵h新建設的結構物已將被動控制元件視為一必備物，而主動控制的裝置設備相對於被動控制繁複，這也是主動控制理論已相當完善卻一直無法被推廣的主要原因。因此，在依循傳統主動控制推導理論下，試著降低回饋資料的維度以及改善裝置設備，以提高其可行性；並且，導入基因演算法於尋求計算控制力的回饋增益矩陣，以加強其控制效果，都是本研究的主要目的。

關鍵字

基因演算法 ； 主動控制 ； 系統識別

並列摘要

Locating in the earthquake district of the world, many studies have been emphasized on the prevention of earthquakes in Taiwan. Besides trying to predict the magnitude and epicenter in advance, enhancing the strength of structures against earthquakes is always the main target of civil engineers. The equipments of decreasing the energy and vibration of the structure could be roughly classified into two parts： the passive-control components, and the active-control devices. Recently, passive control has been considered as an essential part of the new-built structures and the active control theory has been proved for better performance and efficiency. However, since the steps and methods of active-control device are too complicated to implement, the active control still could not be used as practically as the passive control. The goal of this study, according to the active-control theory, is that in order to find the feedback-gain matrix, which is used to calculate the optimal control force to improve the feasibility and to raise the effect of active-control, we must reduce the orders of the feedback information, modify the equipments, and use the Genetic Algorithm.

並列關鍵字

Genetic Algorithm ； Active Control ； System Identifi

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