High precision satellite attitude tracking control via iterative learning control

The attitude control for monitoring the interested area is a repetitively operated dynamic system, and most of the external disturbances, such as atmospheric drag, gravity gradient, magnetic torque, and solar radiation pressure, are repeating. Thus, the iterative learning control (ILC) can be used to improve the attitude tracking accuracy for this kind of mission. The concept of ILC was proposed by Arimoto. to improve robot trajectory tracking accuracy. ILC, which provides a feed-forward control input from the experience of former operation cycles, is very effective in improving tracking accuracy for repetitively operated dynamic systems.