A Direct Discrete-Time Reduced Order Robust Model Reference Adaptive Control for Grid-Tied Power Converters with Lcl Filter

Paulo J. D. O. Evald; Rodrigo V. Tambara; Hilton A. Gründling

doi:10.18618/REP.2020.3.0039

Authors

Paulo J. D. O. Evald Universidade Franciscana (UFN), Santa Maria – RS, Brazil
Rodrigo V. Tambara Universidade Federal de Santa Maria (UFSM), Santa Maria – RS, Brazil
Hilton A. Gründling Universidade Federal de Santa Maria (UFSM), Santa Maria – RS, Brazil

DOI:

https://doi.org/10.18618/REP.2020.3.0039

Keywords:

Computational Burden Reduction, Controller Order Reduction, Grid-tied Converters, LCL Filter, Robust Adaptive Control

Abstract

In this work is presented the design of a direct discrete-time reduced order RMRAC (Robust Model Reference Adaptive Control) applied to the grid-side current control of a static grid-tied voltage-fed 3-wire converter with LCL filter. The proposed controller tracks the reference model output as close as a higher order RMRAC, with similar performance. Furthermore, it rejects exogenous disturbances from grid without the need of conventional resonant controllers, often employed in this kind of application. To design the reduced order controller, the LCL filter is approximated to a first order transfer function, neglecting the capacitor influence. Besides, it is shown mathematically that capacitor is the main element that compounds the additive dynamics, which is considered as unmodelled dynamics to design the controller. Furthermore, experimental results performed in a TMS320F28335 Delfino microcontroller are presented and show the similarity of performance between proposed control method and higher order RMRAC, regarding to harmonics content, which indicate its feasibility.

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Author Biographies

Paulo J. D. O. Evald, Universidade Franciscana (UFN), Santa Maria – RS, Brazil

received the B.Sc. in Automation Engineering and M. Sc. in Computer Engineering by Federal University of Rio Grande at (FURG), in 2016 and 2018, respectively. He worked as Auxiliary Professor at Federal University of Rio Grande, from 2017 to 2019. Currently, he is Ph.D. candidate in Electrical Engineer at Federal University of Santa Maria (UFSM) and Assistant Professor at Franciscan University (UFN). Besides, he is a researcher at the Power and Control Electronics Group (GEPOC). Also, he is a effective member of the Brazilian Society of Power Electronics (SOBRAEP). Your main research interests include adaptive control theory, renewable energy and power electronics control applications.

Rodrigo V. Tambara, Universidade Federal de Santa Maria (UFSM), Santa Maria – RS, Brazil

received the degree of Technician in Electrotechnics by Industrial Technical College of Santa Maria (CTISM) in 2004, B.Sc., M.Sc. and Ph.D. in Electrical Engineer by UFSM in 2008, 2010 and 2014, respectively. He worked as Assistant Professor at University Franciscan Centre (UNIFRA), from 2014 to 2016, and also worked as Adjunct Professor at UFSM, from 2016 to 2018. Currently, he is currently Adjunct Professor at CTISM and Substitute Coordinator of the higher course in Technology in Industrial Electronics. Besides, he is a researcher at GEPOC and at the Research and Development Group on Electrical and Computer Systems (GSEC). Also, he is a member of SOBRAEP. Your main research interests include control applications, electronic instrumentation and power electronics.

Hilton A. Gründling, Universidade Federal de Santa Maria (UFSM), Santa Maria – RS, Brazil

received the B.Sc. in Electronics Engineering by Pontifical University of Rio Grande do Sul (PUCRS) in 1977, M. Sc. in Electrical Engineering from Federal University of Santa Catarina (UFSC) in 1980 and Ph.D. in Electronic and Computer Engineering by Technological Institute of Aeronautics (ITA) in 1995. He worked as Titular Professor at UFSM, from 1980 to 2016. Since 2017, he is Full Professor at UFSM Campus Cachoeira do Sul (UFSM-CS). Besides, he is a researcher at GEPOC. Your main research interests include electronic automation of electrical and industrial processes, acting mainly on discretetime robust adaptive controllers and energy efficiency.

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