Modulated model predictive current control of an indirect matrix converter with active damping

Di, Zhengfei; Rivera, Marco; Dan, Hanbing; Tarisciotti, Luca; Zhang, Kehan; Xu, Demin; Wheeler, Patrick

Abstract

A modulated model predictive control (M²PC) scheme for an indirect matrix converter is proposed in this paper, including an active damping method to mitigate the input filter resonance. The control strategy allows the instantaneous power control and the output current control at the same time, operating at a fixed frequency. An optimal switching pattern is used to emulate the desired waveform quality features of space vector modulation and achieve zero-current switching operations. The active damping technique emulates a virtual resistor which damps the filter resonance. Simulation results present a good tracking to the output-current references, unity input displacement power factor, the low input-current distortions and a reduced common-mode voltage (CMV).

Citation

Di, Z., Rivera, M., Dan, H., Tarisciotti, L., Zhang, K., Xu, D., & Wheeler, P. Modulated model predictive current control of an indirect matrix converter with active damping. Presented at 43rd Annual Conference of the IEEE Industrial Electronics Society - IECON 2017

• Conference Name: 43rd Annual Conference of the IEEE Industrial Electronics Society - IECON 2017
• End Date: Nov 1, 2017
• Acceptance Date: Jul 15, 2017
• Online Publication Date: Dec 18, 2017
• Publication Date: Oct 29, 2017
• Deposit Date: Jan 26, 2018
• Publicly Available Date: Jan 26, 2018
• Peer Reviewed: Peer Reviewed
• Keywords: Matrix converter, modulated model predictive; control, unity input displacement power factor, active damping
• Public URL: https://nottingham-repository.worktribe.com/output/890211
• Publisher URL: http://ieeexplore.ieee.org/abstract/document/8216223/
• Related Public URLs: http://iecon2017.csp.escience.cn/
• Additional Information: Published in: IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society : Oct. 29 2017-Nov. 1 2017. Piscataway, N.J. : IEEE, 2018. ISBN: 978-1-5386-1127-2. pp. 1313-1318, doi: 10.1109/IECON.2017.8216223 © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
• Contract Date: Jan 26, 2018