Co-Simulation Analysis for Performance Prediction of Synchronous Reluctance Drives

Varvolik, Vasyl; Prystupa, Dmytro; Buticchi, Giampaolo; Peresada, Sergei; Galea, Michael; Bozhko, Serhiy

Abstract

To improve the design of electric drives and to better predict the system performance, numerical simulation has been widely employed. Whereas in the majority of the approaches, the machines and the power electronics are designed and simulated separately, to improve the fidelity, a co-simulation should be performed. This paper presents a complete coupled co-simulation model of synchronous reluctance machine (SynRel) drive, which includes the finite element model of the SynRel, the power electronics inverter, the control system, and application examples. The model of SynRel is based on a finite element model (FEM) using Simcenter MagNet. The power electronics inverter is built using PLECS Blockset, and the drive control model is built in Simulink environment, which allows for coupling between MagNet and PLECS. The proposed simulation model provides high accuracy thanks to the complete FEA-based model fed by actual inverter voltage. The comparison of the simulation results with experimental measurements shows good correspondence.

Citation

Varvolik, V., Prystupa, D., Buticchi, G., Peresada, S., Galea, M., & Bozhko, S. (2021). Co-Simulation Analysis for Performance Prediction of Synchronous Reluctance Drives. Electronics, 10(17), Article 2154. https://doi.org/10.3390/electronics10172154

• Journal Article Type: Article
• Acceptance Date: Sep 2, 2021
• Online Publication Date: Sep 3, 2021
• Publication Date: 2021-09
• Deposit Date: Jan 22, 2025
• Publicly Available Date: Jan 23, 2025
• Journal: Electronics (Switzerland)
• Electronic ISSN: 2079-9292
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 10
• Issue: 17
• Article Number: 2154
• DOI: https://doi.org/10.3390/electronics10172154
• Keywords: Electrical and Electronic Engineering; Computer Networks and Communications; Hardware and Architecture; Signal Processing; Control and Systems Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/7355232
• Publisher URL: https://www.mdpi.com/2079-9292/10/17/2154