Predictive Control Strategies Operating at Fixed Switching Frequency for Input Filter Resonance Mitigation in an Indirect Matrix Converter

Rivera, Marco; Toledo, Sergio; Tarisciotti, Luca; Wheeler, Patrick W.; Dan, Hanbing

Abstract

The classic model predictive control leads to a variable switching frequency which could produce resonances in the input filter of the matrix converter, affecting the performance of the system. This paper proposes two methods to mitigate the resonance of the input filter to solve this issue. The first method consists in a hybrid combination of model predictive current control with instantaneous reactive power minimization and an active damping method which consists in emulating a virtual resistor in parallel to the input filter’s capacitor. The second method imposes a sinusoidal source current instance to minimize the instantaneous reactive power at the input side. Both methods can be further enhanced with fixed switching frequency operations. Simulated results confirm the feasibility of the proposal demonstrating that the performance of the system is improved with source and load currents showing a significant reduction in the harmonic distortion produced by the filter resonance.

Citation

Rivera, M., Toledo, S., Tarisciotti, L., Wheeler, P. W., & Dan, H. (2018). Predictive Control Strategies Operating at Fixed Switching Frequency for Input Filter Resonance Mitigation in an Indirect Matrix Converter. IEEE Latin America Transactions, 16(9), 2370-2376. https://doi.org/10.1109/tla.2018.8789557

• Journal Article Type: Article
• Acceptance Date: Jul 31, 2017
• Publication Date: 2018-09
• Deposit Date: Aug 23, 2019
• Publicly Available Date: Aug 23, 2019
• Journal: IEEE Latin America Transactions
• Print ISSN: 1548-0992
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 16
• Issue: 9
• Pages: 2370-2376
• DOI: https://doi.org/10.1109/tla.2018.8789557
• Keywords: Electrical and Electronic Engineering; General Computer Science
• Public URL: https://nottingham-repository.worktribe.com/output/2482048
• Publisher URL: https://ieeexplore.ieee.org/document/8789557
• Additional Information: Title and abstract in English. Main text in Spanish.; ; © 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.