A Learning Estimator for Jitter Reduction in a Directed Energy System Available to Purchase

In this paper, a position regulation control strategy is developed for a platform mounted laser operating in the presence of a bounded, periodic disturbance. Specifically, the proposed control method utilizes an iterative learning estimator that is designed in order to promote system stability and asymptotically regulate the laser’s target position to a desired location. The learning estimator requires that the disturbance be bounded and its period to be known. Simulation and experimental results are provided to demonstrate the efficacy of the proposed method.