International Journal of Systems Science · 1999 · 126 citations · 0 references
Control MethodInitial State ErrorEngineeringRobust ControlMechatronicsIntelligent ControlComputer EngineeringProcess ControlSystems EngineeringBusinessPid ControlControl DesignController TuningRobot LearningLearning ControlIlc AlgorithmGeneralized Ilc AlgorithmStability
In this paper, the effect of initial state error in the iterative learning control (ILC) system is studied. First, the previous result that the performance of D-type ILC algorithm can be improved by adding a P-term of error in the algorithm is generalized to PID-type algorithm. Then, robustness is investigated against the initial state error of the generalized ILC algorithm. It is also shown that the trend of error reduction can be effectively controlled by tuning gains of the proposed controller. In order to confirm validity of the proposed ILC algorithm, several examples are presented.