Adaptive Generalized Predictive Voltage Control of a Boost Converter for Peak Current Reduction in the Presence of Uncertainties

This article introduces an adaptive constrained generalized predictive controller (GPC) applied to a float interleaved boost converter (FIBC) with a low output current. FIBCs face uncertainties due to thermal effects in switches and diodes, variable operating frequencies, inductor losses, measurement errors, and load changes. The controller uses FIBC's direct duty cycle/output voltage model. It features constraints on the control signal and its variations, helping to regulate the input peak current. The controller's stability and performance under uncertainties are enhanced by three mechanisms: adaptive adjustment of control signal's upper constraint and the output error weight coefficient, and an online model estimation mechanism for the GPC. This includes constraining estimated model poles for assured closed-loop stability. Experimental results with 20% real uncertainties and load changes demonstrate the controller's effectiveness: it reduces input peak current, and output voltage oscillations, and overshoots by 3.5 A, 1 V, and 7.5%, respectively, compared to a basic constrained GPC.