DocumentCode :
2790320
Title :
The study of predictive control system based on coincidence points technology
Author :
Zhu, Nana ; Zhou, Lifang
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
4157
Lastpage :
4161
Abstract :
Predictive control is actually widely used for industrial process control. A big number of points in the predictive horizon and control horizon are often chosen not only to ensure the quality of the dynamic process for slow processes but also to get a better robustness for the control system. But it will raise the computational effort of the controller. Blocking and coincidence points technology can reduce the computation time while keeping the length of the horizon, which consider a reduced number of points in the predictive horizon (coincidence points) as well as in the control horizon (blocking point). Base on step response, a new method of selecting coincidence points is proposed in this paper. The simulation results show that this method could not only achieve the objective of simplifying the calculation, but also have certain advantages in the fast performance and stability. Also, this method is simpler and more practical.
Keywords :
predictive control; process control; stability; blocking point; coincidence points technology; control horizon; control system robustness; industrial process control; model predictive control algorithms; predictive control system; predictive horizon; Computational modeling; Control systems; Electrical equipment industry; Industrial control; Prediction algorithms; Predictive control; Predictive models; Robust control; Signal processing; Stability; blocking technique; coincidence points; predictive control; slow process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192311
Filename :
5192311
Link To Document :
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