A SISO control system is built by using a volume displacement sensor and a set of actuators driven in parallel with a single amplifier. The actuators location is optimized to achieve an open-loop transfer function which exhibits alternating poles and zeros, as for systems with collocated actuators and sensors; the search procedure uses a genetic algorithm. The ability of a simple lead compensator to control this SISO system is numerically demonstrated.
Issue Section:
Technical Briefs
1.
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2.
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.7.
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.8.
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,” ASME J. Vibr. Acoust.
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.12.
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, and Preumont
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, 2001
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17.
Lim
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.18.
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19.
Rule, J. A., Richard, R. E., and Clark, R. L., 1999, “Design of an Aeroelastic Delta Wing Model for Active Flutter Control,” Proceedings of Active 99, Fort Lauderdale, FL, December 2–4.
20.
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, R. L.
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22.
Houck, C. R., Joines, J. A., and Kay, M. G., 1995, A Genetic Algorithm for Function Optimization: A Matlab Implementation, Technical Report 96-01, NCSU-IE.
23.
Martin, G. D., 1978, “On the Control of Flexible Mechanical Systems,” Master’s thesis, Stanford University.
24.
De Man, P., Franc¸ois, A., and Preumont, A., 2001, “Robust Feedback Control of a Baffled Plate Through Vibroacoustic Optimization,” 42nd AIAA Structural Dynamics Conference in Seattle April 16–19.
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by ASME
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