Design and implementation of predictive current control of three-phase PWM rectifier using space-vector modulation (SVM)

• Published in: Energy conversion and management 2010-12, Vol.51 (12), p.2473-2481
• Main Authors: Bouafia, Abdelouahab, Gaubert, Jean-Paul, Krim, Fateh
• Format: Article
• Language: English
• Subjects: Applied sciences; Computer Science; Control theory; Convertors; Current control; Deadbeat control; Electric potential; Electrical engineering. Electrical power engineering; Electrical machines; Exact sciences and technology; Mathematical analysis; Predictive control; Pulse duration modulation; PWM rectifiers; Rectifiers; Regulation and control; Space-vector modulation (SVM); Support vector machines; Switching; Unity power factor; Vectors (mathematics)
• ISSN: 0196-8904; 1879-2227
• DOI: 10.1016/j.enconman.2010.05.010

This paper is concerned with the design and implementation of current control of three-phase PWM rectifier based on predictive control strategy. The proposed predictive current control technique operates with constant switching frequency, using space-vector modulation (SVM). The main goal of the designed current control scheme is to maintain the dc-bus voltage at the required level and to achieve the unity power factor (UPF) operation of the converter. For this purpose, two predictive current control algorithms, in the sense of deadbeat control, are developed for direct controlling input current vector of the converter in the stationary α– β and rotating d– q reference frame, respectively. For both predictive current control algorithms, at the beginning of each switching period, the required rectifier average voltage vector allowing the cancellation of both tracking errors of current vector components at the end of the switching period, is computed and applied during a predefined switching period by means of SVM. The main advantages of the proposed predictive current control are that no need to use hysteresis comparators or PI controllers in current control loops, and constant switching frequency. Finally, the developed predictive current control algorithms were tested both in simulations and experimentally, and illustrative results are presented here. Results have proven excellent performance in steady and transient states, and verify the validity of the proposed predictive current control which is compared to other control strategies.