Title :
The principle and simulation research of a fast algorithm of multivariable predictive control
Author :
Hao Pan ; Yu Cao ; Tao Zou ; Haibin Yu ; Mingzhe Yuan
Author_Institution :
Shenyang Inst. of Autom., Shenyang, China
fDate :
May 31 2014-June 2 2014
Abstract :
The traditional control methods are not able to keep control performance in a high level because response speed becomes more important for industrial control. This paper presented a fast predictive control algorithm, which was easy and simple to calculate and the principle of algorithm was very clear and greatly improved the speed of response and calculation, as well as demonstrated the principles of fast algorithms and operation process of the algorithm. Finally, we analyzed the stability, dynamic characteristics and steady state characteristics of system, and used lead-lag correction link to improve the performance of system. The results of simulation demonstrated that all of methods and improved algorithms were feasibility.
Keywords :
multivariable control systems; predictive control; stability; dynamic characteristic; lead-lag correction link; multivariable predictive control; stability; steady state characteristic; Algorithm design and analysis; Electronic mail; Heuristic algorithms; Prediction algorithms; Predictive control; Stability analysis; Steady-state; Dynamic analysis; Fast algorithm; Lead-lag correction; Model Predictive Control; Steady-state analysis;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852471