本研究以薄膜式壓電致動器(MFC)結合模糊理論進行主動式減振控制,並使用有限元素分析找出壓電致動器位置最佳化。由於薄膜式壓電致動器(MFC)具有質輕、高致動效率與高頻寬等優點,尤其是它具有可撓性,可應用於曲面結構。首先以有限元素分析軟體找出結構模態並模擬壓電致動器在結構上之影響與可行性,利用ANSYS WorkBench對壓電致動器位置做參數化設計並找出最佳位置並以實驗驗證。接著使用壓電傳感器(PVDF)量測不同模態之結構振動進行回授,並使用模糊控制器進行減振控制,並針對不同模態進行主動式減振控制。本論文透過實驗結果來建立模糊控制的專家資料庫,使用傳統模糊控制器與類神經模糊(ANFIS)控制器分別對不同模態進行實驗與測試,經實驗結果顯示所提出之ANFIS控制器具有較佳的減振控制性能。
In this study, a Marco Fiber Composites (MFC) piezoelectric actuator is applied to suppress the vibration of the structure using the fuzzy control theory. First, the finite element analysis is used to obtain the optimal position for the piezoelectric actuators. The finite element analysis software is used to understand the relationship between the vibration modes and the piezoelectric actuation on the structure; ANSYS WorkBench is used to obtain the optimal positions of the piezoelectric actuators. Second, the experiments are designed to verify the rightness of the simulation results. Third, for feedbacking the vibration situation to the active vibration controller, PVDF sensors are used to measure the vibration amplitude of the structure at the different modes. To understand the vibration characteristic of the MFC actuator, the experiments are designed to establish the expert database of the fuzzy controller, which is used to describe the nonlinear mapping between the input and output. In the case studies, the MFC actuators are used for the proposed active vibration control of a structure to suppress the vibrations which are induced by the external stimulation. The resulting experiments validated that the proposed adaptive neuro fuzzy inference system (ANFIS) controller has the better performance than the traditional fuzzy controller.