| Project/Area Number |
11650454
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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 |
Control engineering
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| Research Institution | Keio University |
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Principal Investigator |
SANO Akira Keio University, System Design Engineering, Professor, 理工学部, 教授 (10051765)
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| Project Period (FY) |
1999 – 2000
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| Project Status |
Completed (Fiscal Year 2000)
|
| Budget Amount *help |
¥3,300,000 (Direct Cost: ¥3,300,000)
Fiscal Year 2000: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 1999: ¥2,200,000 (Direct Cost: ¥2,200,000)
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| Keywords | System identification / Adaptive control / Closed-loop identification / Stabilized control / Magnetic suspension system / Subspace method / Estimation of DOA |
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| Research Abstract |
A new direct closed-loop identification method only using the plant input/output data acquired through an output inter-sampling scheme is presented in this study. By taking the faster sampling of the system output than the control interval, we can clarify that the inter-sampled plant model can also be described by the SIMO model structure, which can provide the identifiability of the closed-loop. One of the advantages is that the proposed identification method using the inter-sampled output observations can remove the ordinary restrictive identifiability condition, and it is not required that the reference input holds the persistently exciting (PE) property. Its effectiveness is demonstrated in numerical simulation treating a generalized predictive control, and an experimental study of a magnetic suspension system stabilized by PID controller. We also clarified that the
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