2013
DOI: 10.1049/iet-pel.2012.0277
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Predictive variable‐structure system control of unity power factor rectifiers

Abstract: This study presents the design of a current control loop and the selection of switching logic for pulse-width modulation (PWM) of three-phase switching converters. This approach is based on a deliberate introduction of the predictive sliding mode motion within a control system. It shows that the selection of the PWM pattern is a direct result of sliding mode existence within the current control closed-loop system. The design specifications are robustness to load electrical parameters, fast dynamic response, re… Show more

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Cited by 7 publications
(6 citation statements)
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“…The first step requires knowledge of ρ + and ρ − for x = x * (t), which can be obtained using (10) and (7). The second step consists of obtaining the stability interval for γ, which are given by Theorem 1 in the regulation case and Theorem 2 in the tracking case.…”
Section: Design Proceduresmentioning
confidence: 99%
See 1 more Smart Citation
“…The first step requires knowledge of ρ + and ρ − for x = x * (t), which can be obtained using (10) and (7). The second step consists of obtaining the stability interval for γ, which are given by Theorem 1 in the regulation case and Theorem 2 in the tracking case.…”
Section: Design Proceduresmentioning
confidence: 99%
“…Thus, switching frequency reduction is a field of active research, and interesting results have been obtained with predictive sliding mode in a unity power factor rectifier [7], and with double hysteresis band schemes in active filters [8] and voltage source inverters [9].…”
mentioning
confidence: 99%
“…Other commonly solutions are based on using transformations such as αβ-frame [22], [23], dq-frame [24] or using three independent current controllers which structure has to be changed over every 60…”
Section: Introductionmentioning
confidence: 99%
“…Researchers have developed direct power control which leads to direct control of active and reactive powers (Yan et al, 2014;Zhang et al, 2013;Norniella et al, 2011;Kwak et al, 2014). Control algorithms based on predictive approaches (Antoniewicz and Kazmirkowski, 2008;Zhang et al, 2013;Kwak et al, 2014;Xia et al 2012;Ramirez et al, 2014;Korelic and Jezernik, 2013) and input-output feedback linearization approaches (Gensior et al, 2009;Burgos et al, 2005) have been also developed. Although the above-mentioned methods can provide improved performances, they suffer from their complexity or ease of tuning.…”
Section: Introductionmentioning
confidence: 99%