Optimal Tracking Control of Power Converters Integrated with Variable Distortion

Abstract

In this paper, an optimal controller based on state-dependent coefficient factorization (SDCF) is proposed to monitor and enhance the performance of power converters under injected random noise. Power converters are becoming an essential element in many power system applications such as voltage conversion, energy storage, micro-grids, and renewable energy converters. Although several methods have been proposed for power converter control that provide a fast response and higher accuracy, few have focused on the impact of random distortion injected to the converter circuit. The proposed approach relies on remodeling the nonlinear converter dynamics as series of linear models and controlling it using an optimal tracker. The approach is implemented on a single-phase boost converter to design a state feedback controller. The results obtained show better performance, lower power losses, faster response and enhanced state observation when compared to optimal trackers that ignore random distortions.