Robust Control Design Procedure Based on Particle Swarm Optimization and Kharitonov’s Theorem with an Application for PMSMs

Authors

  • Lucas Cielo Borin Universidade Federal de Santa Maria (UFSM) – Santa Maria, RS, Brazil
  • Caio Ruviaro Dantas Osório Universidade Federal de Santa Maria (UFSM) – Santa Maria, RS, Brazil
  • Gustavo Guilherme Koch Universidade Federal de Santa Maria (UFSM) – Santa Maria, RS, Brazil
  • Thieli Smidt Gabbi Universidade Federal do Rio Grande do Sul (UFRS) – Porto Alegre, RS, Brazil
  • Ricardo Coração de Leão Fontoura de Oliveira Universidade de Campinas (UNICAMP) – Campinas, SP, Brazil
  • Vinícius Foletto Montagner Universidade Federal de Santa Maria (UFSM) – Santa Maria, RS, Brazil

DOI:

https://doi.org/10.18618/REP.2020.2.0008

Keywords:

Kharitonov’s theorem, Particle swarm optimization, Permanent magnet synchronous motors, Power converters, Robust control

Abstract

This paper proposes an automatic procedure for robust control design applicable to power converters based on particle swarm optimization and Kharitonov's Theorem. The main benefit is to provide control gains that have a theoretical certificate of robust stability and also accomplish multiple performance criteria in a design less dependent of human-machine interaction. Regarding the particle swarm optimization, each particle represents a controller candidate whose performance is evaluated by means of an objective function, using the vertices of a polytopic model of the plant and the four polynomials of Kharitonov's Theorem. The effectiveness of the proposed procedure is illustrated by means of a case study that considers the speed control of a permanent magnet synchronous motor subject to uncertain mechanical and electrical parameters. The designed controllers, obtained in an off-line way, yield good trade-offs between performance and robustness, as confirmed by simulation and experimental evaluations. Analyses show superior results with the proposed strategy compared to a genetic algorithm and to a design tool specialized for PID tuning, indicating its viability as an alternative for robust control design in power electronics.

 

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Author Biographies

Lucas Cielo Borin, Universidade Federal de Santa Maria (UFSM) – Santa Maria, RS, Brazil

received the B.Sc. degree in computer engineering, in 2017, and the M.Sc. degree in electrical engineering, in 2020, from the Federal University of Santa Maria, Brazil, where he is currently working toward the D.Sc. degree in electrical engineering with the Power Electronics and Control Research Group. His research interests include: intelligent algorithms and control theory applications.

Caio Ruviaro Dantas Osório, Universidade Federal de Santa Maria (UFSM) – Santa Maria, RS, Brazil

received the B.Sc. and M.Sc. degrees in electrical engineering in 2015 and 2017, respectively, from thehttps://www.overleaf.com/project/5ef66290717bba0001d63ff9 Federal University of Santa Maria, Brazil, where he is currently working toward the D.Sc. degree in electrical engineering, with the Power Electronics and Control Research Group. His research interests include control theory applications on power electronics, robust control and robust stability analysis.

Gustavo Guilherme Koch, Universidade Federal de Santa Maria (UFSM) – Santa Maria, RS, Brazil

received the B.Sc., M.Sc. and D.Sc. degrees in electrical engineering in 2013, 2015 and 2019, respectively, from the Federal University of Santa Maria, Brazil, where he is currently working toward the posdoctorate with the Power Electronics and Control Research Group. His research interests include robust control, and control theory applications.

Thieli Smidt Gabbi, Universidade Federal do Rio Grande do Sul (UFRS) – Porto Alegre, RS, Brazil

received the B.Sc., M.Sc. and D.Sc. degrees in electrical engineering in 2013, 2015 and 2019, respectively, from the Federal University of Santa Maria, Brazil. She is currently a Professor in the Federal University of Rio Grande do Sul (UFRGS). Her research interests include control systems and electrical machine drives.

Ricardo Coração de Leão Fontoura de Oliveira, Universidade de Campinas (UNICAMP) – Campinas, SP, Brazil

received the B.Sc. degree in computer engineering from the Pontifical Catholic University of Parana in 2001 and the M.Sc. and Ph.D. degrees in electrical engineering from the University of Campinas (UNICAMP), Campinas, SP, Brazil, in 2003 and 2006, respectively. He is currently a Professor with the School of Electrical and Computer Engineering (FEEC/UNICAMP). His research interests include the development of numerical tools for stability analysis and the control design of uncertain linear and fuzzy systems.

Vinícius Foletto Montagner, Universidade Federal de Santa Maria (UFSM) – Santa Maria, RS, Brazil

received the Master’s degree in electrical engineering from the Federal University of Santa Maria, Santa Maria, Brazil, in 2000, and the Ph.D. degree in electrical engineering from the University of Campinas, Campinas, Brazil, in 2005. He is currently a Professor in the Federal University of Santa Maria, where he works with the Power Electronics and Control Research Group. His research interests include robust stability and control applied to power electronics.

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Published

2020-06-30

How to Cite

[1]
L. C. Borin, C. R. D. Osório, G. G. Koch, T. S. Gabbi, R. C. de L. F. de Oliveira, and V. F. Montagner, “Robust Control Design Procedure Based on Particle Swarm Optimization and Kharitonov’s Theorem with an Application for PMSMs”, Eletrônica de Potência, vol. 25, no. 2, pp. 219–229, Jun. 2020.

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