DocumentCode :
2644247
Title :
FPGA based predictive deadbeat control for high switching frequency SEPIC
Author :
Li, Ning ; Lin-Shi, X. ; Allard, Bruno ; Lefranc, P. ; Godoy, E. ; Jaafar, A.
Author_Institution :
AMPERE Lab., INSA-Lyon, Villeurbanne, France
fYear :
2012
fDate :
25-28 Oct. 2012
Firstpage :
3055
Lastpage :
3060
Abstract :
This paper presents the application of predictive deadbeat control to the high switching frequency DC/DC Single-Ended Primary Inductor Converter (SEPIC). An extended Kalman observer with load variation estimation is designed to achieve current sensorless operation of the controller. A hybrid Delta-Sigma (Δ-Σ) Digital Pulse Width Modulation (DPWM) is used to effectively achieve 11-bit resolution at high-frequency and reduce the system clock frequency. The proposed DPWM along with the predictive deadbeat control algorithm is validated by using a Virtex-II FPGA. Experimental studies are conducted for a laboratory prototype with switching frequency of 500kHz. Simulation and experimental results prove the performance of the proposed solution.
Keywords :
DC-DC power convertors; Kalman filters; PWM power convertors; delta-sigma modulation; electric current control; field programmable gate arrays; inductors; observers; predictive control; switching convertors; FPGA-based predictive deadbeat control; Virtex-II FPGA; controller current sensorless operation; extended Kalman observer; frequency 500 kHz; high-switching frequency DC-DC SEPIC; hybrid Δ-Σ DPWM; hybrid delta-sigma digital pulsewidth modulation; load variation estimation; single-ended primary inductor converter; system clock frequency; Computational modeling; Field programmable gate arrays; Frequency measurement; Kalman filters; Mathematical model; Multi-stage noise shaping; Switches; DPWM; FPGA implementation; SEPIC; digital control; extended Kalman filter; predictive deadbeat control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
ISSN :
1553-572X
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2012.6389410
Filename :
6389410
Link To Document :
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