Title :
Application research of the multi-step predictive control based on impoved GA-BP
Author :
Hong, Li ; Yanling, Li
Author_Institution :
Dept. of Electr. Eng., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
The multi-step predictive control developed in recent years is a new kind of computer control algorithm. Consider the good stability and anti-interference ability of multi-step predictive control, it´s applied to the cold rolling interstand tension control system; But the derivation process of the multi-step predictive control process is much complex, and has a large amount of calculation, therefore using improved GA-BP to optimize multi-step predictive control. Simulation results show that, the multi-step predictive control based on impoved GA-BP greatly optimizes the dynamic characteristics of interstand tension control system, and impoves the stability of tension and anti-interference ability.
Keywords :
backpropagation; cold rolling; genetic algorithms; iterative methods; mechanical variables control; predictive control; stability; tensile strength; anti-interference ability; cold rolling interstand tension control system; computer control algorithm; derivation process; dynamic characteristics; genetic algorithm-backpropagation; impoved GA-BP; multistep predictive control; tension stability; Control systems; Electronic mail; MATLAB; Prediction algorithms; Predictive control; Stability analysis; GA-BP Control; Interstand Tension; Matlab/Simulink Simulation; Multi-step Predictive Control;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3