The paper poses the basis for the application of the Padé-based-repetitive learning control to power converters, in all the scenarios where a periodic reference signal is to be tracked. Compared to standard repetitive schemes, the new relevant feature of the proposed control is that the learning scheme is reduced to a simple intrinsically stable transfer function, whose poles lie on the left-hand-side of the complex plane. Hence, storing a considerable amount of samples is no longer required, while resetting procedures are no longer involved. The Padé-based-repetitive control has a simple structure, while being able to automatically compensate for any periodic disturbance signals coming from external generators and dead-time. A stability analysis is reported, providing a useful guidance to tune the control parameters. Simulation results are presented to illustrate the effectiveness of the proposed algorithm. © 2018 IEEE.
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