Fast Algorithm of Open-Closed Loop PD-type Iterative Learning Control for DC motor

Author

Hu, Yun´an ; Zuo, Bin ; Li, Jing

Author_Institution

Dept. of Control Eng., Naval Aeronaut. Eng. Inst., Yantai

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3834

Lastpage

3838

Abstract

A fast algorithm of open-closed loop PD-type iterative learning control (ILC) for a class of nonlinear system is proposed in the paper. In the algorithm, the system´s current tracking error and previous tracking error and their differential signals are all used to update the control law meanwhile. At the same time, the control law applies varying proportion parameters, which can be adjusted according to the system´s errors. Therefore, the capability of the target tracking is greatly improved. Then the sufficient condition for the convergence of the proposed fast iterative learning algorithms is given. Finally simulation results for DC motor show the validity and feasibility of the proposed algorithm

Keywords

DC motors; PD control; adaptive control; closed loop systems; learning systems; machine control; nonlinear control systems; open loop systems; DC motor; control law; nonlinear system; open-closed loop PD-type iterative learning control; target tracking; Control systems; DC motors; Error correction; Iterative algorithms; Nonlinear control systems; Nonlinear systems; Open loop systems; Proportional control; Sufficient conditions; Target tracking; DC motor; Iterative Learning Control; Open-Closed loop PD-type;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713089

Filename

1713089