研究生: |
黃文政 Wen-Jheng Huang |
---|---|
論文名稱: |
可自我調頻吸振器之研究 The Study of Self-Tuning Vibration Absorber |
指導教授: |
黃世欽
Shyh-Chin Huang |
口試委員: |
林高安
Kao-An Lin 黃以玫 Yi-Mei Huang |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2011 |
畢業學年度: | 99 |
語文別: | 中文 |
論文頁數: | 76 |
中文關鍵詞: | 調頻 、吸振器 、壓電材料 |
外文關鍵詞: | self-tuning, absorber, PZT |
相關次數: | 點閱:178 下載:2 |
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本文以壓電材料做為力電轉換媒介,研發一可自我調頻吸振器(Self-Tuning Vibration Absorber, STVA),此吸振器係由懸臂樑貼覆兩片壓電材料所構成,分別作為感測器與致動器之用。當主系統承受一簡諧外力時,壓電感測器因正壓電效應之影響產生一交流電訊號,藉此訊號經控制器判定外力頻率,進而施予壓電致動器一對應電壓,使其產生一位移變化,但受限於結構的拘束,迫使其產生一內應力之效應。於自由振動分析可知,因內應力效應之影響,使STVA的固有頻率隨之改變,同時本文將內應力等效成作用於樑上彎矩之變化,從強迫振動分析可知,因彎矩效應之影響,主系統響應會因此改變,故本文藉此內應力之效應改變STVA之頻率,使STVA具有調頻之功能。
於理論推導方面,先建立自我調頻吸振器之模型,續將能量式加入壓電材料之力電轉換效應,運用模態展開法將能量式予以離散化,結合壓電致動器之彎矩-電壓關係式,推導出STVA系統運動方程式,並驗證本文所採用懸臂樑之自然模態的準確性。在數值模擬方面,分析壓電材料於不同貼覆位置、厚度、長度及電壓對STVA在調頻與吸振上的影響。於調頻系統方面,由壓電感測器得知外力頻率大小,以此頻率值為依據供給壓電致動器之對應電壓,使STVA頻率與外力頻率一致,達成主系統響應衰減之目標。研究中應根據理論分析實際製作一STVA裝置於主系統上,驗證STVA在吸振方面的效果及其可行性。
In this research, a self-Tuning Vibration Absorber (STVA) is developed. STVA is composed of a beam with two PZT patches, one for sensing and one for actuating. The theory of absorber is to make the DVA natural frequency is coincide with the external excitation. Yet, due to environmental nature and manufacture error, the excitation is frequently deviated from a steady frequency. If the absorber contains the self-tuning ability, the absorption can be remaining at high effectiveness. The concept of STVA is as the beam vibrates the sensor outputs an alternating voltage, and with appropriate control algorithms, an electrical power is applied to the actuator such that the natural frequency of STVA is changed.
In the analysis, the parameters such as PZT location, thickness, length are discussed. The results show that the best location for sensor is near the fixed end but it is at the free end for actuator. The length and thickness of PZT actuator should be increased up to a certain ratio not unlimited. Finally, experiments are performed to verity the self-tuning ability. It shows that this composition is applicable but the tuning range is yet not as large as analytical prediction.
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