Abstract：In recent years，the use of microinverters has received a lot of attention as one of the viable methods

for residential and commercial PV power conversion systems. Flyback inverters operating in current continuous

conduction mode（CCM）have been widely studied for their low output ripple current，high efficiency，and low

cost. However，its control duty cycle to output current transfer function has right-half-plane（RHP）zeros，which

may cause system instability when the inverter is combined with a high-gain feedback controller. In addition，

flyback CCM inverters are subject to grid time-varying voltage disturbances. As a result，the conventional control

scheme leads to inaccurate output tracking. An interleaved flyback CCM microinverter iterative learning control

（ILC）method was proposed to help the system output converge to the reference trajectory by utilizing the

prediction term and the current learning term. Compared with the traditional PI control scheme，the system output

globally converges to the reference trajectory without state disturbance，output noise and initial state error.

      Key words：microinverter；current continuous conduction mode（CCM）；right-half-plane（RHP）zero；iterative learning control（ILC）