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