2003 Fiscal Year Final Research Report Summary
Research on the Design of Feedback Active Adaptive Sound Field Control Systems on Frequency Domain
| Project/Area Number |
14550219
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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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 | Kumamoto University |
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Principal Investigator |
IWAI Zenta Kumamoto University, Faculty of Engineering, Professor, 工学部, 教授 (40026109)
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| Co-Investigator(Kenkyū-buntansha) |
KUMON Mokoto Kumamoto University, Faculty of Engineering, Research Associate, 工学部, 助手 (70332864)
MIZUMOTO Ikuo Kumamoto University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (30239256)
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| Project Period (FY) |
2002 – 2003
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| Keywords | Sound field control / Noise control / Frequency domain / Partial model matching / Nonlinear Programming / Audio servo system / Vibration control / Noise transfer function |
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| Research Abstract |
Adaptive Partial Model Matching Control method based on model matching on frequency domain utilizes the knowledge of several frequency responses of the controlled plant at finite number of frequency points. Hence this design technique has had the possibility to design sound field control systems in the feedback form because the human auditory sense can also be characterized by frequency characteristics.
Based on the above stated view point, we have obtained following results concerning the design of feedback adaptive active sound field control systems.
(1)Sound field control based on partial model matching on frequency domain
The criterion of the choice of the ideal sound field model, number of matching frequencies, a range of matching frequency domain are investigated.
(2)2-degree-of-freedom construction of the feedback active sound field control systems
It is proposed to use different frequency controllers which correspond to different frequency regions by dividing the matching frequency domain into 2-parts. This method is effective for sound field system having complex frequency characteristics caused by nonlinearities.
(3)Design of audio servo system
(4)Development of adaptive control algorithms for nonlinear plants and adaptive vibration control system
Basic adaptive control algorithms and general active vibration control concepts have been investigated for future application.
Above stated results has been presented several national and international conferences and submitted (and prepare to submit) to several Journals. Concerning the content (1), one of our graduate students (co-researcher) obtained the best presentation award for young researchers from SICE.
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