DocumentCode :
3532331
Title :
Experimental identification of spatially-interconnected parameter-invariant and LPV models for actuated beams
Author :
Qin Liu ; Werner, Herbert
Author_Institution :
Inst. of Control Syst., Hamburg Univ. of Technol., Hamburg, Germany
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
4122
Lastpage :
4127
Abstract :
This paper presents an experimental case study on system identification for spatially interconnected systems, considering both parameter-invariant and parameter-varying models. Considered here is the problem of vibration control for actuated beams - beams of different lengths are each equipped with an array of collocated actuators and sensors. Here we show how a spatially-interconnected model - a lumped approximation of a distributed system that lends itself to efficient, LMI-based synthesis of distributed control - for such actuated beams can be obtained experimentally. Experimental results show that a long beam with equally distributed actuators/sensors can be satisfactorily represented by a spatially invariant model. This is not possible for a short beam due to the stronger effect of boundary conditions, whereas it is demonstrated experimentally that a spatial LPV model captures the dynamic behaviour, thus enabling the synthesis of distributed spatial LPV controllers.
Keywords :
actuators; beams (structures); control system synthesis; distributed parameter systems; identification; interconnected systems; linear matrix inequalities; sensors; structural engineering; vibration control; LMI-based distributed control synthesis; LPV models; actuated beams; collocated actuators; collocated sensors; distributed actuators-sensors; distributed spatial LPV controller synthesis; distributed system lumped approximation; dynamic behaviour; experimental identification; parameter-varying models; spatially-interconnected parameter-invariant system; system identification; vibration control; Actuators; Boundary conditions; Interconnected systems; Sensor arrays; Sensor phenomena and characterization; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6760521
Filename :
6760521
Link To Document :
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