DocumentCode
868065
Title
Improved Digital Peak Voltage Predictive Control for Switching DC–DC Converters
Author
Xu, Jianping ; Zhou, Guohua ; He, Mingzhi
Author_Institution
Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China
Volume
56
Issue
8
fYear
2009
Firstpage
3222
Lastpage
3229
Abstract
A digital peak voltage (DPV) predictive control for switching dc-dc converters is proposed and studied in this paper. With the predictive control technique, the duty ratio in each switching cycle is usually calculated and predicted based on the status in the previous switching cycles. Therefore, at least a one-switching-cycle time delay usually exists in predictivPe control, which significantly degrades the control performance of digital controlled switching dc-dc converters. To eliminate this time delay and to improve the control performance, an improved DPV (IDPV) predictive control technique is then proposed and studied. The control laws of DPV and IDPV with different pulsewidth modulations are derived, and their stabilities are analyzed. A simple digital slope compensation method is proposed to eliminate the subharmonic oscillation of DPV and IDPV control laws. The steady-state and transient performances of DPV and IDPV controlled buck converters are investigated by simulation and experiment. The comparison studies among DPV, IDPV, and digital peak current (DPC) control show that the transient performances of IDPV and DPV are much better than that of DPC and that IDPV is better than DPV.
Keywords
DC-DC power convertors; digital control; electric current control; predictive control; switching convertors; voltage control; digital peak current control; digital peak voltage; digital slope compensation; duty ratio; predictive control; switching DC-DC converters; $V^{2}$ control; Digital control; digital slope compensation (DSC); peak voltage control; predictive control; switching dc–dc converters;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/TIE.2009.2022068
Filename
4926160
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