Modulated Model-Predictive Integral Control Applied to a Synchronous Reluctance Motor Drive

Riccio, Jacopo; Karamanakos, Petros; Odhano, Shafiq; Tang, Mi; Di Nardo, Mauro; Tresca, Giulia; Zanchetta, Pericle

Abstract

This article investigates an innovative modulation technique for a predictive control applied to a synchronous reluctance motor (SyRM) drive. The new formulation of the duty cycles, in both linear and overmodulation regions, relies on the identified flux-versus-current characteristics. Furthermore, integral terms have been introduced in the predictive control to achieve satisfactory reference tracking performance with zero steady-state error, even under model parameters mismatches. Low current ripple with smooth and fast dynamic responses are achievable at fixed switching frequency over the whole current operating range. Simulations and experimental evidence show the effectiveness of the proposed controller against standard controllers such as field-oriented current control (FOC) and deadbeat current control (DBCC), guaranteeing low current ripple, robustness against parameters variations, and fast dynamic performance.

Citation

Riccio, J., Karamanakos, P., Odhano, S., Tang, M., Di Nardo, M., Tresca, G., & Zanchetta, P. (2023). Modulated Model-Predictive Integral Control Applied to a Synchronous Reluctance Motor Drive. IEEE Journal of Emerging and Selected Topics in Power Electronics, 11(3), 3000-3010. https://doi.org/10.1109/JESTPE.2023.3245077

• Journal Article Type: Article
• Acceptance Date: Feb 14, 2023
• Online Publication Date: Feb 14, 2023
• Publication Date: 2023-06
• Deposit Date: Mar 12, 2024
• Journal: IEEE Journal of Emerging and Selected Topics in Power Electronics
• Print ISSN: 2168-6777
• Electronic ISSN: 2168-6785
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Issue: 3
• Pages: 3000-3010
• DOI: https://doi.org/10.1109/JESTPE.2023.3245077
• Keywords: Electrical and Electronic Engineering; Energy Engineering and Power Technology
• Public URL: https://nottingham-repository.worktribe.com/output/17386454
• Publisher URL: https://ieeexplore.ieee.org/document/10044643