Virtual Memristor Based Control to Improve Power Converter Stability Under Extreme Large Range of Parameter Uncertainty

In this paper, a virtual memristor based control method is proposed to improve power converter stability under extended range of parametric variation. To improve the output power quality when filter parameters are decreased significantly below the benchmark values, a feedforward branch with a memristive low pass filter is introduced. Simulation results show that for a three-level buck converter, the proposed control method stabilizes the system when the LC filter parameter values are changed from 1.0 pu to 0.2 pu. Stable operation was achieved in 84% of the tested parameter space with the proposed control method, compared to 52% of the tested parameter space coverage achieved by conventional active damping method.