Improvised multi-objective model predictive control of matrix converter using fuzzy logic and space vectors for switching decisions

Mir, Tabish Nazir; Singh, Bhim; Bhat, Abdul Hamid

Abstract

Finite control set model predictive control (FCS-MPC) has lately received noteworthy attention in the control of power converters. Such converters have a finite number of switching states, which ensure a small sample space of predictions and minimum computational burden. Although unanimously popular in most converters, multi-objective FCS-MPC (Mo-FCS-MPC) is a particularly attractive choice in the control of matrix converters (MCs), as it enables attainment of multiple objectives with relative ease. Conventionally, a weighing factor-based approach is undertaken in the implementation of Mo-FCS-MPC wherein a cost-function is framed such that each of its constituent objectives, is assigned a relative weight according to its significance. However, the tuning of weights is empirical in nature and hence tedious. This study proposes an improvised technique for implementing Mo-FCS-MPC in MCs while simultaneously meeting a number of objectives such as load current, source current, and input power factor control. Sector information from space vectors of reference output voltages and reference input currents, coupled with a fuzzy decision-making criterion is used to make the final switching decision, hence eliminating the conventional weighing factor-based approach. The inclusion of space vector modulation into predictive control enhances the quality of both loads as well as source current waveforms.

Citation

Mir, T. N., Singh, B., & Bhat, A. H. (2020). Improvised multi-objective model predictive control of matrix converter using fuzzy logic and space vectors for switching decisions. IET Power Electronics, 13(4), 758-764. https://doi.org/10.1049/iet-pel.2018.5873

• Journal Article Type: Article
• Acceptance Date: Nov 13, 2019
• Online Publication Date: Mar 1, 2020
• Publication Date: Mar 1, 2020
• Deposit Date: Sep 7, 2023
• Journal: IET Power Electronics
• Electronic ISSN: 1755-4543
• Publisher: Institution of Engineering and Technology (IET)
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Issue: 4
• Pages: 758-764
• DOI: https://doi.org/10.1049/iet-pel.2018.5873
• Keywords: Electrical and Electronic Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/23489020
• Publisher URL: https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-pel.2018.5873