Study on Algorithm of Constrained Multivariable Generalized Predictive Control

Author

Liang, Xiu Xia ; Wang, Xiao Ye ; Liu, Zhi Wei ; Chen, Zeng Qiang ; Yuan, Zhu Zhi

Author_Institution

Dept. of Autom., Hebei Univ. of Technol., Tianjin

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

336

Lastpage

339

Abstract

To the multivariable system, when the input variables were constrained in the whole predictive horizon, we presented a generalized predictive self-tuning control algorithm (MGPC), the algorithm is to solve the controller using the identification results and not to be compute the Diophantine equation on line. Quadratic program was used to solve the restraint problem of MGPC, as the performance index of the MGPC was quadratic, which reduced the calculation and simplified designing of control system. The simulation result was given and showed that this control scheme was effective and can be applied to the process industry control system

Keywords

adaptive control; control system synthesis; multivariable control systems; predictive control; quadratic programming; self-adjusting systems; Diophantine equation; constrained multivariable control system; control system design; generalized predictive self-tuning control algorithm; quadratic program; restraint problem; Computational modeling; Control systems; Electrical equipment industry; Equations; Industrial control; Input variables; MIMO; Performance analysis; Prediction algorithms; Predictive control; Constraints; Generalized Predictive control; Multivariable control; Quadratic program;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.259034

Filename

4028084