DocumentCode :
2886146
Title :
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
Link To Document :
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