Title :
Research on speed and tension multivariable system of reversible cold strip mill based on ILQ theory
Author :
Gang Zheng;Xiao-Li Chao;Zhe Yang; Fu-Caiqian
Author_Institution :
Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, School of Automation and Information Engineering, Xi´an University of Technology, Xi´an 710048, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
For the speed and tension system of reversing cold strip mill with multivariable, uncertainties and strong coupling, a new method of inverse linear quadratic (ILQ) is proposed. Firstly, a relatively complete mathematical model for the speed and tension multivariable coupling system is established by using the mechanism modeling method. Then according to the state-space expression of the controlled system and aspirations closed-loop poles, optimal feedback matrix is obtained by ILQ method. Instead of choosing the weighted matrix simplifies the design process, and the asymptotic behavior of the system is robust. Simulation results show the effectiveness of this method.
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
DOI :
10.1109/ICMLC.2015.7340907