Title :
Explicit Hybrid Model Predictive Control of the dc-dcBoost Converter
Author :
Beccuti, A.G. ; Papafotiou, G. ; Frasca, R. ; Morari, M.
Author_Institution :
ETH Zurich, Zurich
Abstract :
The proposed work presents a model predictive control scheme for the dc-dc boost converter; the control model is based on a hybrid formalization of the physical circuit, and the related optimal control problem is explicitly solved offline for every possible instance of the state vector, thus avoiding any online optimization and rendering the scheme practically implementable. An outer estimation loop is additionally integrated into the setup to account for load variations. Experimental results are provided to substantiate the viability of the proposed control approach.
Keywords :
DC-DC power convertors; optimal control; power system control; predictive control; control model; dc-dc boost converter; hybrid formalization; hybrid model predictive control; load variations; online optimization; optimal control problem; outer estimation loop; state vector; Circuits; DC-DC power converters; Inductors; Least squares approximation; Optimal control; Power system modeling; Predictive control; Predictive models; Sampling methods; Switches;
Conference_Titel :
Power Electronics Specialists Conference, 2007. PESC 2007. IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-0654-8
Electronic_ISBN :
0275-9306
DOI :
10.1109/PESC.2007.4342407
