DocumentCode :
2518682
Title :
The Direct Approach to Unified GPC Based on ARMAX/CARIMA/CARMA Model and Application for Pneumatic Actuator Control
Author :
Song, Qiang ; Liu, Fang
Author_Institution :
Sch. of Electron. Inf., Hangzhou Dianzi Univ., Zhejiang
Volume :
1
fYear :
2006
fDate :
Aug. 30 2006-Sept. 1 2006
Firstpage :
336
Lastpage :
339
Abstract :
This paper extends the range of generalized predictive control (GPC) algorithm proposed by Clark et al. based on a CARIMA model, and shows that it is also applicable for an ARMAX model and a CARMA model. Unified formulas are given to provide direct approach to GPC using model parameters without solving Diophantine equations. The extended GPC is applied for the control of a pneumatic actuator based on its ARX model built by neural network. The performance of designed GPC controller is impressive for its quick response and accurate tracking
Keywords :
autoregressive moving average processes; machine control; neurocontrollers; pneumatic actuators; predictive control; ARMAX model; CARIMA model; CARMA model; Diophantine equation; generalized predictive control; model parameter; neural network; pneumatic actuator control; Automatic control; Costing; Delay; Equations; Laboratories; Neural networks; Pneumatic actuators; Prediction algorithms; Predictive control; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
Type :
conf
DOI :
10.1109/ICICIC.2006.186
Filename :
1691808
Link To Document :
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