Title :
Robust iterative learning control for rolling control system
Author :
Yunhua Li ; Zhang Peng
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
Abstract :
Characterized by nonlinear, uncertain factors and interference, torsion bar rolling control system faces a hard work in the control of the force accuracy. According to the thought of iterative learning control and the robust theory, an iterative learning controller used in torsion shaft rolling control system was designed. Robust control technology was used to realize the stability of system and meanwhile overcome the effects caused by various non-repeated interference and uncertainties and iterative learning control technology was used to improve the tracing performance and overcome the effects caused by various repeated interference. The mathematical model of control system was established and analyzed by using MATLAB/Simulink, the results show that the system tracking performance and anti-interference ability were improved adopting the H-∞ iterative learning control method.
Keywords :
H∞ control; adaptive control; control system synthesis; iterative methods; learning systems; robust control; rolling; torsion; H-∞ iterative learning control method; Matlab; Simulink; iterative learning controller design; robust control technology; robust iterative learning control; stability; torsion bar rolling control system; torsion shaft rolling control system; Equations; Force; Robustness; Servomotors; Uncertainty; Valves; H-∗ iterative learning control; rolling control system; torsion bar;
Conference_Titel :
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4799-3978-7
DOI :
10.1109/ICMA.2014.6885928
