Uncertainty modeling of power electronic converter dynamics

Abstract

The presence of unavoidable disturbances has become an issue concerning powerelectronic converter modeling and design. These disturbances result in system parameter uncertainties, which may significantly alter predicted performance of a power converter. In this thesis, power electronic converter performance is studied under the influence of random noise. We experimentally verify existence of random noise and measure its statistical properties on the operating characteristics of a switching power converter. Available deterministic approaches do not provide insight into important effects of random noise on dynamics of a power converter. To address this problem, we develop converter models that include the effect of random noise on dynamics of practical converters. We also develop a security index to quantify the converter performance. This index is known as mean first passage time (MFPT). It represents the time for trajectories represented by the converter model, to evolve from an operating point to the boundary of domain of attraction.%%%%Ph.D., Electrical Engineering – Drexel University, 2003