Iterative performance improvement of fuzzy control systems for three tank systems

  • Authors:

  • Radu-Emil Precup;Marius L. Tomescu;Mircea-Bogdan Rdac;Emil M. Petriu;Stefan Preitl;Claudia-Adina Dragoş

  • Affiliations:

  • Department of Automation and Applied Informatics, "Politehnica" University of Timisoara, Bd. V. Parvan 2, RO-300223 Timisoara, Romania;Faculty of Computer Science, "Aurel Vlaicu" University of Arad, Complex Universitar M, Str. Elena Dragoi 2, RO-310330 Arad, Romania;Department of Automation and Applied Informatics, "Politehnica" University of Timisoara, Bd. V. Parvan 2, RO-300223 Timisoara, Romania;School of Information Technology and Engineering, University of Ottawa, 800 King Edward, Ottawa, ON, Canada K1N 6N5;Department of Automation and Applied Informatics, "Politehnica" University of Timisoara, Bd. V. Parvan 2, RO-300223 Timisoara, Romania;Department of Automation and Applied Informatics, "Politehnica" University of Timisoara, Bd. V. Parvan 2, RO-300223 Timisoara, Romania

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

This paper suggests the performance improvement of fuzzy control systems (FCSs) for three tank systems using iterative feedback tuning (IFT). The stable design of Takagi-Sugeno-Kang fuzzy controllers is guaranteed by means of a stability theorem based on LaSalle's global invariant set theorem formulated for a class of multi input-multi output (MIMO) nonlinear processes. An IFT algorithm characterized by setting the step size to guarantee the FCS stability is proposed. The theoretical approaches are applied in a case study that deals with the IFT-based stable design of fuzzy controllers dedicated to the level control of a cylindrical three tank system as a representative MIMO system. A set of experimental results for a laboratory setup illustrates the performance improvement.