DocumentCode :
3475222
Title :
Hierarchical Least-squares Identification of Transfer Function and Application on Platform System
Author :
Pang, Xinliang ; Fan, Dapeng ; Zhang, Lianchao ; Zhu, Huazheng
Author_Institution :
Nat. Univ. of Defense Technol., Changsha
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
2089
Lastpage :
2094
Abstract :
In this paper, we present a hierarchical least squares iterative (HLSI) algorithm based on a hierarchical identification principle to identify the system transfer function parameters. The algorithm is extended to identify the system parameters through the frequency characteristic obtained by sweep tester or simulink/dSpace system. We prove that the algorithm proposed has better performances than the ident toolbox in Matlab and the existing ones. The iterative results converge to the exact solutions for any initial value. We apply the algorithm into the platform system identification and design the controller based on the iterative identification solution. Finally the performances of platform system open-loop frequency characteristic verify the algorithm validity.
Keywords :
control system synthesis; hierarchical systems; iterative methods; least mean squares methods; parameter estimation; transfer functions; controller design; hierarchical identification principle; hierarchical least squares iterative algorithm; iterative identification solution; open-loop frequency characteristics; system transfer function parameters identification; Algorithm design and analysis; Automation; Control systems; Frequency estimation; Iterative algorithms; Iterative methods; Open loop systems; System identification; System testing; Transfer functions; controller design; frequency characteristic; hierarchical identification principle; platform system; transfer function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4338920
Filename :
4338920
Link To Document :
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