Synthesis of Fractional-order PI Controllers and Fractional-order Filters for Industrial Electrical Drives

Paolo Lino; Guido Maione; Silvio Stasi; Fabrizio Padula; Antonio Visioli

Volume 4 Issue 1

Jan. 2017

IEEE/CAA Journal of Automatica Sinica

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Paolo Lino, Guido Maione, Silvio Stasi, Fabrizio Padula and Antonio Visioli, "Synthesis of Fractional-order PI Controllers and Fractional-order Filters for Industrial Electrical Drives," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 58-69, Jan. 2017.

Citation:

Paolo Lino, Guido Maione, Silvio Stasi, Fabrizio Padula and Antonio Visioli, "Synthesis of Fractional-order PI Controllers and Fractional-order Filters for Industrial Electrical Drives," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 58-69, Jan. 2017.

Citation:

Paolo Lino, Guido Maione, Silvio Stasi, Fabrizio Padula and Antonio Visioli, "Synthesis of Fractional-order PI Controllers and Fractional-order Filters for Industrial Electrical Drives," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 58-69, Jan. 2017.

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Synthesis of Fractional-order PI Controllers and Fractional-order Filters for Industrial Electrical Drives

1.
Dipartimento di Ingegneria Elettrica e dell' Informazione, Politecnico di Bari, Bari I-70125, Italy
2.
Department of Mathematics and Statistics, Curtin University, Perth WA6102, Australia
3.
Department of Mechanical and Industrial Engineering, University of Brescia, Brescia 25123, Italy

Funds:

Fabrizio Padula's research contributing to these results has been partially supported by the Australian Research Council DP160104994

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Author Bio:
Paolo Lino received the Laurea degree in electrical engineering from Politecnico di Bari, Italy, in 2000 and the Ph.D. degree in electronics and automation from the University of Catania, Italy, in 2004. In 2003 he has been a visiting researcher at the University of New Mexico, Albuquerque, NM, USA. Currently he is an assistant professor in automatic control at Politecnico di Bari. His main research interests are in intelligent control, predictive control and modeling and control of electro-mechanical and automotive systems. He is co-author of more than 60 peer reviewed papers in journals, book chapters, and conference proceedings. Dr. Lino is member of IEEE and IEEE Control Systems Society (e-mail:paolo.lino@poliba.it)

Silvio Stasi received the M.Sc. degree in electrical engineering from the University of Bari, Italy, in 1989, and the Ph.D. degree in electrical engineering from Politecnico di Bari, in 1993. From 1990 to 1993, he was with the Electric Drives and Machines Group, Politecnico di Bari, where he carried out research on control and state and parameter estimation of electrical drives and, since November 2002, he has been an associate professor of electrical machines and drives in the Department of Electrical and Information Engineering. His research interests include control of electric drives, fuzzy logic, neural networks, power electronics, and motor parameter estimation (e-mail:silvio.stasi@poliba.it)

Fabrizio Padula received the M.Sc. degree in industrial automation engineering in 2009 and the Ph.D. degree in computer science and automatic control in 2013, both form the University of Brescia. Currently, he is research fellow at the Department of Mathematics and Statistics of the Faculty of Science and Engineering at Curtin University, Perth, Australia. His research activity deals with fractional control, inversion-based control and tracking control. He is also interested in robotics and mechatronics (e-mail: fabrizio.padula@curtin.edu.au)

Antonio Visioli received the Laurea degree in electronic engineering from the University of Parma in 1995 and the Ph.D. degree in applied mechanics from the University of Brescia in 1999. Currently he holds a professor position in automatic control at the Department of Mechanical and Industrial Engineering of the University of Brescia. He is a senior member of IEEE and a member of the TC on Education of IFAC, of the IEEE Control Systems Society TC on Control Education and of the IEEE Industrial Electronics Society TC on Factory Automation Subcommittees on Event-Based Control & Signal and on Industrial Automated Systems and Control, and of the National Board of Anipla (Italian Association for Automation). His research interests include industrial robot control and trajectory planning, dynamic inversion based control, industrial control, and fractional control. He is the author or co-author or editor of four international books, one textbook and more than 200 papers in international journals and conference proceedings (e-mail: antonio.visioli@unibs.it)
Corresponding author: Guido Maione received the Laurea degree with honors in electronic engineering in 1992 and the Ph.D. degree in electrical engineering in 1997, both from Politecnico di Bari. In 1996 he joined the University of Lecce, Italy, where he was assistant professor in automatic control. In 2002 he moved to Politecnico di Bari. He visited the Rensselaer Polytechnic Institute of Troy, NY, USA, in 1997 and 1998, and the Queen's University of Belfast (UK) in 2007, 2009, and 2013. His research interests include fractional-order systems and controllers, automotive systems, discrete event systems, multi-agent systems, Petri nets and digraph models. He is the author or co-author of more than 120 peer reviewed papers in journals, book chapters and conference proceedings. Dr. Maione is senior member of IEEE, IEEE Control Systems Society, and he is an IFAC affiliate. In 1996 he founded the IEEE Student Branch at Politecnico di Bari and served as first ad interim president. Corresponding author of this paper (e-mail:guido.maione@poliba.it)
Received Date: 2015-11-03
Accepted Date: 2016-04-01

Abstract

Abstract

This paper introduces an electrical drives control architecture combining a fractional-order controller and a setpoint pre-filter. The former is based on a fractional-order proportional-integral (PI) unit, with a non-integer order integral action, while the latter can be of integer or non-integer type. To satisfy robustness and dynamic performance specifications, the feedback controller is designed by a loop-shaping technique in the frequency domain. In particular, optimality of the feedback system is pursued to achieve input-output tracking. The setpoint pre-filter is designed by a dynamic inversion technique minimizing the difference between the ideal synthesized command signal (i.e., a smooth monotonic response) and the prefilter step response. Experimental tests validate the methodology and compare the performance of the proposed architecture with well-established control schemes that employ the classical PIbased symmetrical optimum method with a smoothing pre-filter.
- Dynamic inversion,
- electrical drives,
- fractionalorder PI controller,
- loop-shaping,
- set-point pre-filter

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References(41)

References

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Synthesis of Fractional-order PI Controllers and Fractional-order Filters for Industrial Electrical Drives

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