Indirect predictive control strategy with fixed switching frequency for a direct matrix converter

Rivera, Marco; Tariscotti, Luca; Wheeler, Patrick; Bayhan, S.

Abstract

The direct matrix converter has a large number of available switching states which implies that the implementation of predictive control techniques in this converter requires high computational cost while an adequate selection of weighting factors in order to control both input and output sides. In this paper, an indirect model predictive current control strategy is proposed in order to simplify the computational cost while avoiding the use of weighting factors. The method is based on the fictitious dc-link concept, which has been used in the past for the classical modulation and control techniques of the direct matrix converter. The proposal is enhanced with a fixed switching predictive strategy in order to improve the performance of the full system. Simulated results confirm the feasibility of the proposal demonstrating that it is an alternative to classical predictive control strategies for the direct matrix converter.

Citation

Rivera, M., Tariscotti, L., Wheeler, P., & Bayhan, S. (in press). Indirect predictive control strategy with fixed switching frequency for a direct matrix converter.

• 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
• Deposit Date: Jan 18, 2018
• Publicly Available Date: Jan 18, 2018
• Electronic ISSN: 1553-572X
• Peer Reviewed: Peer Reviewed
• Public URL: https://nottingham-repository.worktribe.com/output/900469
• Publisher URL: http://ieeexplore.ieee.org/document/8217284/
• Related Public URLs: http://iecon2017.csp.escience.cn/dct/page/1
• Additional Information: Published in 2017 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017), Bejing, China, 29 Oct-1 Nov 2017 IEEE, 2017. ISBN: 9781538611272, pp. 7332-7337, doi:10.1109/IECON.2017.8217284
• Contract Date: Jan 18, 2018