Title :
Predictive Control of Power Converters: Designs With Guaranteed Performance
Author :
Aguilera, Ricardo P. ; Quevedo, Daniel E.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
In this work, a cost function design based on Lyapunov stability concepts for finite control set model predictive control is proposed. This predictive controller design allows one to characterize the performance of the controlled converter, while providing sufficient conditions for local stability for a class of power converters. Simulation and experimental results on a buck dc-dc converter and a two-level dc-ac inverter are conducted to validate the effectiveness of our proposal.
Keywords :
DC-DC power convertors; Lyapunov methods; control system synthesis; invertors; predictive control; stability; Lyapunov stability concepts; buck dc-dc converter; cost function design; finite control set model predictive control; local stability; power converters; two-level dc-ac inverter; Cost function; DC-DC power converters; Predictive control; Quantization (signal); Stability analysis; Steady-state; Switches; Controller performance; Predictive control; controller performance; finite control set; power conversion; predictive control; stability;
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2014.2363933
