Title :
A nonlinear model predictive controller design for Sheppard-Taylor based PFC rectifier
Author :
Abedi, M.R. ; Tahami, F.
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
This paper addresses a nonlinear model predictive controller design for a single-phase PFC rectifier exploiting the Sheppard-Taylor converter. After approximation of the tracking error in the receding horizon by its Taylor-series expansion to any specified order, an analytic solution to the MPC is developed and a closed-form nonlinear predictive controller is introduced. The proposed nonlinear model predictive control (NMPC) derived using approximation can stabilize the original nonlinear systems if certain conditions, which can be met by properly choosing predictive times and the order for Taylor expansion, are satisfied. The main advantage of this digital control method is that unity power factor can be achieved over wide input voltage and load current range. Sheppard-Taylor PFC topology with NMPC shows better and more accurate performance in both steady state and transient state compared to linear control methods. Simulation results show the effectiveness of the proposed NMPC.
Keywords :
control system synthesis; digital control; linear systems; nonlinear control systems; power convertors; power factor correction; predictive control; rectifiers; Sheppard-Taylor converter; Taylor-series expansion; closed-form nonlinear predictive controller; digital control method; linear control methods; nonlinear model predictive controller design; single-phase power factor correction rectifier; unity power factor; Digital control; Error correction; Nonlinear systems; Power system modeling; Predictive control; Predictive models; Reactive power; Rectifiers; Taylor series; Topology; Nonlinear Model Predictive Control (NMPC); Power Factor Correction (PFC) rectifier; Sheppard-Taylor Convertor;
Conference_Titel :
Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
Conference_Location :
Porto
Print_ISBN :
978-1-4244-4648-3
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2009.5414729