DocumentCode :
2597421
Title :
An incremental predictive functional control based on Kautz model
Author :
Mingzhu, Xu ; Yiping, Jiang ; Cunzhi, Pan ; Zhanzhong, Wang
Author_Institution :
Sch. of Mech. Eng., Shijiazhuang Railway Inst., Shijiazhuang, China
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
5
Abstract :
An incremental model was built using the orthogonal Kautz function base. An adaptive predictive functional control algorithm based on incremental Kautz model has been designed in this paper. An increment state space equation is used to model the course. The recursive least-squares (RLS) is used to identify the parameters online. The simulations verified the given strategy. It is shown that the value of over output is restrained, and the control quality is increased with the designed method.
Keywords :
adaptive control; least squares approximations; predictive control; adaptive control; increment state space equation; orthogonal Kautz function base; predictive functional control; recursive least squares method; Automatic control; Control systems; Design methodology; Mechanical engineering; Predictive models; Programmable control; Proportional control; Rail transportation; Resonance light scattering; Switches; Kautz model; RLS; control quality; identify online; increment Kautz model; over output; predictive functional control; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5347923
Filename :
5347923
Link To Document :
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