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Experimental comparison of new adaptive PI controllers based on the ultra-local model parameter identification

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  • Control Theory and Applications
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Abstract

This paper is devoted to an experimental comparison between two different methods of ultra-local model control. The concept of the first proposed technique is based on the linear system resolution technique to estimate the ultra-local model parameters. The second proposed method is based on the linear adaptive observer which allows the joint estimation of state and unknown system parameters. The closed-loop control is implemented via an adaptive PID controller. In order to show the efficiency of these two control strategies, experimental validations are carried out on a two-tank system. The experimental results show the effectiveness and robustness of the proposed controllers.

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Authors and Affiliations

  1. Laboratoire de Recherche en Automatique, Université de Tunis El Manar, Ecole Nationale d’Ingénieurs de Tunis, 1002, Tunis, Tunisia

    Hajer Thabet & Mounir Ayadi

  2. Laboratoire de Génie de Production, Ecole Nationale d’Ingénieurs de Tarbes, 65016, Tarbes CEDEX, France

    Frédéric Rotella

Authors
  1. Hajer Thabet
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  2. Mounir Ayadi
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  3. Frédéric Rotella
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Corresponding author

Correspondence to Hajer Thabet.

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Recommended by Associate Editor DaeEun Kim under the direction of Editor Ju Hyun Park

Hajer Thabet received her Master diploma in Automatic and Signal Processing in 2011 from Ecole Nationale d’Ingénieurs de Tunis (ENIT), Tunisia. From 2011 to 2015, she joined the Laboratoire de Recherche en Automatique LA.R.A. (ENIT) and the Laboratoire Génie de Production LGP (ENIT, France) where her research interests are focused on identification methods of ultra-local models for dynamic systems control. She received her Ph.D. degree in Electrical Engineering from ENIT in 2015.

Mounir Ayadi graduated from Ecole Nationale d’Ingénieurs de Tunis in 1998 and received his PhD degree in Automatic Control from the Institut National Polytechnique de Toulouse in 2002. He was a post-doctoral fellow at the Ecole Supérieure d’Ingénieurs en Génie Electrique de Rouen in 2003. He is currently Maître de Conférences at the Ecole Nationale d’Ingénieurs de Tunis and the head of Electrical Engineering Department in ENIT. His research interests are in the area of control system theory, predictive and adaptive control, and at systems.

Frédéric Rotella was born in 1957. In 1981, he received the diploma in Engineering from the Institut Industriel du Nord (Lille, France). From 1981 to 1994, he joined the Laboratoire d’Automatique et d’Informatique Industrielle de Lille where his research interests are focused on modelization and control of non linear systems. He received the Ph.D. degree (in 1983) and the Doctorat d’Etat degree (in 1987) from the University of Science and Technology of Lille-Flandres-Artois. During this period, he served at the Ecole Centrale de Lille (ex. Institut Industriel du Nord) as Assistant Professor in Automatic Control. In 1994, he joined the Ecole Nationale d’Ingénieurs de Tarbes (France) as Professor of Automatic Control. From this date he is in charge of the Department of Electrical Engineering of this engineering school. His personnal fields of interest are about control of non linear systems and time-varying linear systems. Professor Rotella is member of the Club EEA. Professor Rotella is coauthor of Théorie et pratique du calcul matriciel (1995, ed. Technip, Paris, France).

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Thabet, H., Ayadi, M. & Rotella, F. Experimental comparison of new adaptive PI controllers based on the ultra-local model parameter identification. Int. J. Control Autom. Syst. 14, 1520–1527 (2016). https://doi.org/10.1007/s12555-014-0550-1

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  • DOI: https://doi.org/10.1007/s12555-014-0550-1

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