Date of Graduation
12-2019
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Engineering (PhD)
Degree Level
Graduate
Department
Electrical Engineering
Advisor/Mentor
Juan Carlos Balda
Committee Member
Roy McCann
Second Committee Member
Alan Mantooth
Third Committee Member
Darin Nutter
Fourth Committee Member
Simon Ang
Keywords
Adaptive Controller, Boundary Control, Critical Conduction Mode, Flyback Converter, Sensorless Control, Switching Surface Control
Abstract
The derivation and implementation of the natural switching surfaces (NSS) considering certain parametric uncertainties for a flyback converter operating in the boundary conduction mode (BCM) is the main focus of this paper. The NSS with nominal parameters presents many benefits for the control of nonlinear systems; for example, fast transient response under load-changing conditions. However, the performance worsens considerably when the converter actual parameters are different from the ones used in the design process. Therefore, a novel control strategy for NSS considering the effects of parameter uncertainties is proposed. This control law can estimate and adapt the control trajectories in a minimum number of switching cycles to obtain excellent performances even under extreme parameter uncertainties. The analytical derivation of the proposed adaptive switching surfaces is presented together with simulations and experimental results showing adequate performance under different tests, including comparisons with a standard PI controller.
Citation
Garcia Rodriguez, L. A. (2019). Adaptive Boundary Control Using the Natural Switching Surfaces for Flyback Converters. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/3547