由於地震往往會造成嚴重的天然災害，其災害的嚴重程度可能造成建築物倒塌，危害到生命安全，因此有許多文獻利用不同的控制方法對建築物進行抑制振動的研究以避免造成無法挽回的結果。抑振的控制方法主要有三種:被動控制、主動控制、半主動控制。被動控制不需要電源進行抑振，主動控制則是需要大量電源進行抑振但能達到即時控制的效果，半主動控制僅需少許電源即可抑振但無法像主動控制一樣能即時控制。磁流變液阻尼器是半主動控制常用的元件，其優點有響應快、可控性高等優點，有許多文獻利用此元件進行研究，因此本論文利用磁流變液阻尼器進行半主動控制的抑振研究。

地震並非單一頻率造成，所以必須要考慮最糟糕的情況，因此本論文利用三層樓建築物的共振頻率作為輸入干擾設計PID、LQG、H-infinity控制器的參數並觀察主動控制的抑振效果。接著將磁流變液阻尼器的動態行為利用布克-溫模型建模導入主動控制使其變成半主動控制並且利用自適應神經模糊系統控制電流輸入，並且觀察導入磁流變液阻尼器後的抑振效果，希望半主動控制的抑振效果不會跟主動控制的抑振效果相差太多。最後透過深度強化學習即時改變自適應神經模糊系統的電流參數達到與主動控制一樣即時控制的效果。

本論文利用1940年El Centro地震驗證本論文提出的半主動控制之抑振果，利用PID控制器時，第三層樓的最大加速度下降了72 %，第三層樓的最大位移下降了72 % ;利用LQG控制器時，第三層樓的最大加速度下降了55 %，第三層樓的最大位移下降了66 % ;利用H-infinity控制器時，第三層樓的最大加速度下降了54 %，第三層樓的最大位移下降了63 %。

Because earthquakes often cause serious natural disasters, the severity of the disaster may cause buildings to collapse and endanger life safety. Therefore, there are many works of literature using different control methods to suppress vibration of buildings to avoid irreparable results. There are three main control methods for vibration suppression: passive control, active control, and semi-active control. Passive control does not require power supply for vibration suppression, active control requires a large amount of power supply for vibration suppression but can achieve the effect of instant control, and semi-active control requires only a small amount of power supply to suppress vibration but cannot be controlled in real-time like active control. Magnetorheological damper is a commonly used component for semi-active control. Its advantages include fast response and high controllability. There are many works of literature using this component for studying. Therefore, this thesis uses a magnetorheological damper for semi-active control for performing a vibration suppression study.

Earthquakes are not caused by a single frequency, so the worst case must be considered. First, this thesis uses the resonant frequencies of the three-story building as an input disturbance to design the parameters of PID, LQG, and, H-infinity controllers and observes the vibration suppression effects of active control. Secondly, the dynamic behaviors of the magnetorheological fluid damper are modeled by the Bouc-Wen model and are imported into the active control to make it semi-active control, where the current input is controlled by the adaptive-network-based fuzzy inference system. The vibration suppression effects after introducing the magnetorheological damper are examined, and it is hoped that the vibration suppression effects of semi-active control will not differ too much from those of active control. Finally, the current parameters of the adaptive-network-based fuzzy inference system are changed in real-time through the deep reinforcement learning to achieve the same real-time control effects as an active control.

This thesis also uses the 1940 El Centro earthquake to verify the vibration suppression effects of the proposed semi-active control. When using the PID controller, the maximum acceleration of the third floor is reduced to 72 %, and the maximum displacement of the third floor is reduced to 72 % ; when using the LQG controller, the maximum acceleration of the third floor is reduced to 55 %, and the maximum displacement of the third floor is reduced to 66 %; when using the H-infinity controller, the maximum acceleration of the third floor is reduced to 54 %, and the maximum displacement of the third floor is reduced to 63 %.

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