파라미터 추정을 이용한 반복학습제어

Abstract

In this paper, iterative learning control (ILC) method for industrial robot manipulators that repeat same operation is proposed. ILC method is reducing tracking error by using error of previous trial. Information of robot is necessary to guarantee performance of ILC. Closed transfer function of robot can be linearized if desired and output trajectory are considered as input and output respectively, and it is easy to apply. ILC with identified parameters of the linearized transfer function shows better performance.