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