DocumentCode :
2496676
Title :
Application of fast parameter identification in the characteristic model of aerospace craft
Author :
Chunxia, Tong
Author_Institution :
Beijing Inst. of Control Eng., Chinese Acad. of Space Technol., Beijing
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
7380
Lastpage :
7384
Abstract :
Traditionally, the parameters of characteristic model are estimated with recursive least square method. When the parameters changes sharply, the recursive least square method can not track the changes of system parameters effectively. This paper introduced strong tracing filter for the parameters identification of characteristic model. Based on the extended Kalman filter, suboptimal fading factor is introduced into this method which can satisfied the residuals of same time to be minimum and the residuals of different time to be zero simultaneously. The parameter identification method of strong tracking filter is highly capable of tracking varying parameters. This paper applied this method to identify the varying parameters of the characteristic model of the aerospace craft, and the simulation results show that this method allows larger parameter varying range than recursive least square method in the model of aerospace craft.
Keywords :
Kalman filters; aircraft; least squares approximations; nonlinear filters; parameter estimation; tracking; aerospace craft; characteristic model; extended Kalman filter; fast parameter identification; parameter estimation; recursive least square method; suboptimal fading factor; tracing filter; Aerospace control; Aerospace engineering; Automation; Control engineering; Filters; Intelligent control; Laboratories; Least squares methods; Parameter estimation; Space technology; aerospace craft; characteristic modeling; strong tracking filter; varying parameter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594067
Filename :
4594067
Link To Document :
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