Enhancing the tracking performance of phase-shift full-bridge series resonant inverters based on iterative learning control

This paper considers the current tracking control for phase-shift full-bridge series resonant inverters (PSFB-SRIs) with fixed initial shifts and state disturbances based on iterative learning control (ILC) method. According to the characteristics of the PSFB-SRIs, a discrete-time ILC algorithm is designed and the output limiting trajectory is presented. The theoretical result shows that the ILC algorithm makes the output tracking errors bounded. Furthermore, the initial rectifying mechanism is applied to the PSFB-SRIs, in the absence of state disturbances, the output tracking errors can converge to zero within a pre-specified interval. Finally, the efficacy of the proposed method is substantiated by simulation.