Title :
Iterative learning control algorithm based on newton-projection method
Author :
Jingli Kang ; Yaoguo Li
Author_Institution :
Fourth Acad., China Aerosp. Sci. & Technol. Corp., Beijing, China
Abstract :
The iterative learning control algorithm based on Newton-Projection method for nonlinear dynamic system is proposed. Introduced projection method to iterative learning control problem, we construct the orthonormal basis of the control space. The output tracking problem is transformed into the problem of nonlinear equations in the finite dimension. Newton method is utilized to solve the nonlinear equations and improve the control law so that the target output is tracked. Sufficient conditions of convergence for this algorithm are given and proved. The implementation of the new algorithm has the advantage that the new iterative learning control algorithm has simple computation work in complex nonlinear systems, which can be also used to distributed parameter systems.
Keywords :
Newton method; adaptive control; distributed control; iterative learning control; learning systems; nonlinear control systems; Newton-projection method; distributed parameter systems; finite dimension; iterative learning control algorithm; nonlinear dynamic system; nonlinear equations; output tracking problem; target output; Newton method; iterative learning control; nonlinear systems; projection method;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053412