Repetitive control mechanism of disturbance cancellation using a hybrid regression and genetic algorithm
The analytic method of repetitive control proposed in this paper eliminates the interference from a feedback control system. The start point influences the convergence rate directly. When the data are stabilized, the tracking error of the obtained convergence value, 10?14, is the optimal solution.
repetitive control regression genetic algorithm tracking error periodic disturbance