Design Guide for Integral CCS-MPC Applied to a Surface Permanent Magnet Synchronous Motor with HiL Implementation

Arthur G. Bartsch; Rodrigo Trentini; Ademir Nied; José de Oliveira; Filipe Fernandes; Sabrina F. dell Agnolo; Mariana S. M. Cavalca

doi:10.18618/REP.e202517

Authors

Arthur G. Bartsch Instituto Federal de Educação https://orcid.org/0000-0001-7195-028X
Rodrigo Trentini Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina https://orcid.org/0000-0002-7519-7763
Ademir Nied Universidade do Estado de Santa Catarina https://orcid.org/0000-0003-1798-1215
José de Oliveira Universidade do Estado de Santa Catarina https://orcid.org/0000-0003-2478-9774
Filipe Fernandes Universidade do Estado de Santa Catarina https://orcid.org/0000-0002-9235-1881
Sabrina F. dell Agnolo Universidade do Estado de Santa Catarina https://orcid.org/0009-0000-7992-0958
Mariana S. M. Cavalca Universidade do Estado de Santa Catarina

DOI:

https://doi.org/10.18618/REP.e202517

Keywords:

CCS-MPC,, Integral control, SPMSM

Abstract

This paper presents a design guide for applying an integral convex control set model-based predictive control (CCS-MPC) in a surface permanent magnet synchronous machine (SPMSM). The proposed CCS-MPC has an intrinsic integral action that eliminates the need of an external disturbance estimator for disturbance rejection. In the control design, this work presents a relation between the open-loop cost function weighting factor and the closed-loop bandwidth factor, which could be used to improve the controller design. Several tests are performed in the hardware-in-the-loop experimental, as sinusoidal and step reference tracking. Experimental frequency responses are also provided.

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Author Biographies

Arthur G. Bartsch, Instituto Federal de Educação

received the BS degree in electrical engineering, and the MS and PhD degrees from State University of Santa Catarina, Joinville, Brazil, in 2015, 2016, and 2021, respectively. Since 2018, he has been an Adjunct Professor with the Department of Electrical Engineering, Federal Institute of Santa Catarina, campus Jaraguá do Sul-Rau, Brazil. His research interests include power electronics, electrical machines, and control theory, focused in predictive control.

Rodrigo Trentini, Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina

received the BS degree in control and automation engineering from the Instituto Superior Tupy, Joinville, Brazil, the MS degree in electrical engineering from the State University of Santa Catarina, Joinville, Brazil, and the PhD degree in electrical engineering from the University of Hannover, Hannover, Germany, in 2010, 2012, and 2017, respectively. Since 2018, he has been an Adjunct Professor with the Department of Electrical Engineering, Federal Institute of Santa Catarina, campus Jaraguá do Sul-Rau, Brazil. His research interests include power systems modeling and control, renewable energy, control theory, and mechatronics.

Ademir Nied, Universidade do Estado de Santa Catarina

received the BS degree in electrical engineering from the Federal University of Santa Maria, Santa Maria, Brazil, in 1987, the MS degree in industrial informatics from the Federal Technological University of Parana, Curitiba, Brazil, in 1995, and the PhD degree in electrical engineering from the Federal University of Minas Gerais, Belo Horizonte, Brazil, in 2007. Since 1996, he has been a Faculty Member of
Santa Catarina State University, Joinville, Brazil, where he is currently a Full Professor with the Department of Electrical Engineering. From 2015 to 2016, he was a Visiting Professor with the Wisconsin Electric Machines and Power Electronics Consortium, University of Wisconsin- Madison, Madison, WI, USA. His teaching and research interests include electrical machines, control of electrical drives, neural networks, and renewable energy.

José de Oliveira , Universidade do Estado de Santa Catarina

was born in Mandaguari Paraná. He obtained his PhD degree from UFSC in 2000. He is currently a full professor at UDESC. He works in the area of dynamic systems control.

Filipe Fernandes, Universidade do Estado de Santa Catarina

received his BS degree in Electrical Engineering from the Santa Catarina State University (UDESC), where he conducted research in systems control, focusing on predictive control and artificial intelligence applied to power electronics. He is currently pursuing a master’s degree in Electrical Engineering at UDESC, with a thesis centered on the development of an Integrated Electric Motor Drive. Filipe works at SUPPLIER, contributing to all stages of the product lifecycle, including design, production coordination, and cost estimation. His experience includes developing AC and DC power supplies, DC-DC and AC-DC converters, and electronic load banks. His main interests are predictive control, motor control, and power electronics.

Sabrina F. dell Agnolo, Universidade do Estado de Santa Catarina

received her BS degree in Electrical Engineering from the Santa Catarina State University (UDESC), where she conducted research in systems control, focusing on predictive control applied to electrical machines. She works at WEG. Her main interests are predictive control, motor control, and power electronics.

Mariana S. M. Cavalca, Universidade do Estado de Santa Catarina

has a BS degree in Control and Automation Engineering from the Federal University of Itajubá (2007) and a PhD in the area of Systems and Control from the Technological Institute of Aeronautics (2011). She holds the position of Associate Professor (with exclusive dedication) at the State University of Santa Catarina (UDESC). She has experience and interest in the area of Control and Automation Engineering, working mainly on the following topics: Predictive Control and Fault Tolerant Control.

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