| Project/Area Number |
15360118
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Dynamics/Control
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| Research Institution | Tohoku University |
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Principal Investigator |
TAKAGI Toshiyuki (2004) Tohoku University, Institute of Fluid Science, Professor, 流体科学研究所, 教授 (20197065)
谷 順二 (2003) 東北大学, 流体科学研究所, 教授 (30006192)
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| Co-Investigator(Kenkyū-buntansha) |
QIU Jinhao Tohoku University, Institute of Fluid Science, Professor, 流体科学研究所, 教授 (60241585)
張 文豊 東北大学, 流体科学研究所, 助手
高木 敏行 東北大学, 流体科学研究所, 教授 (20197065)
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| Project Period (FY) |
2003 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥14,700,000 (Direct Cost: ¥14,700,000)
Fiscal Year 2004: ¥5,200,000 (Direct Cost: ¥5,200,000)
Fiscal Year 2003: ¥9,500,000 (Direct Cost: ¥9,500,000)
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| Keywords | piezoelectric actuators / vibration control / noise control / smart board / adaptive control |
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| Research Abstract |
Based on the modal analysis of an aluminum plate bounded with piezoelectric elements that were used self-sensing actuators, the state equations of the system were established. A controller was designed using the H_∞. and μ synthesis robust control theory and both simulation and experiment of vibration suppression were carried. The results showed that the vibration of the first mode was reduced by 15 dB.
Next a control system with self-sensing actuators and adaptive control approach, which is base on FIR filter and LMS was established for the vibration suppression of a smart composite board with embedded piezoelectric elements. The advantages of this kind of control are that it does not require the mathematical model of the vibration system and that it can always maintain the optimal state even when the parameters of the systems change. With the new control system, the vibration was successfully suppressed not only at the resonance frequency of the first mode, but also at the resonance frequency of all the modes under 1,200 Hz.
Furthermore, an active noise control system was constructed using the adaptive control approach and the smart board and adaptive control with embedded piezoelectric elements. Since the self-sensing piezoelectric actuator can only measure the vibration of the smart board, an estimator was constructed to estimate the noise pressure level from the signals of the piezoelectric elements. The advantage of this noise control system is that it does need microphone so that it can be more compact in size. The experimental results show that the noise can be effectively suppressed at many resonance peaks under 1,200Hz.
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