Title :
Analysis and design of an optimal parameter PID iterative learning control scheme for Position Servo Control System
Author :
Gao, Qiang ; Zeng, Weijun ; Dong, Chao
Author_Institution :
Tianjin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China
Abstract :
In this paper, an optimal design method is proposed to determine the PID coefficients for control discrete-time SISO LTI systems in order to improve the transient tracking performance. We analyzed the convergence of the scheme and its convergence condition is obtained in terms of the PID coefficients. Based on the model of a DC Motor, an illustrative example is given to demonstrate the effectiveness of the proposed technique.
Keywords :
adaptive control; discrete time systems; iterative methods; learning systems; optimal control; position control; servomechanisms; three-term control; DC motor; discrete time SISO LTI systems; optimal parameter PID iterative learning control; position servo control system; transient tracking performance; Control systems; Control theory; Convergence; DC motors; Design methodology; Iterative algorithms; Iterative methods; Optimal control; Servosystems; Three-term control; Iterative learning control; PID type ILC; convergence; optimal design;
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
DOI :
10.1109/ICINFA.2010.5512236