Hostname: page-component-745bb68f8f-s22k5 Total loading time: 0 Render date: 2025-01-12T20:47:00.892Z Has data issue: false hasContentIssue false
  • English
  • Français

Fuzzy logic controllers for electrotechnical devices - On-site tuning approach

Published online by Cambridge University Press:  15 December 2001

D. Hissel ,
P. Maussion  and
J. Faucher
D. Hissel
Affiliation:
Institut National Polytechnique de Toulouse, École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique et d'Hydraulique de Toulouse, Laboratoire d'Électrotechnique et d'Électronique Industrielle (UMR CNRS n° 5828), 2 rue Camichel, BP 7122, 31071 Toulouse Cedex 7, France Institut National Polytechnique de Toulouse, École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique et d'Hydraulique de Toulouse, Laboratoire d'Électronique, Électrotechnique et Systèmes, Unité mixte de recherche UTBM & UFC associée à l'INRETS LRE T31 L2ES - IGE Parc Technologique, 2 avenue Jean Moulin, 90000 Belfort, France
P. Maussion
Affiliation:
Institut National Polytechnique de Toulouse, École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique et d'Hydraulique de Toulouse, Laboratoire d'Électrotechnique et d'Électronique Industrielle (UMR CNRS n° 5828), 2 rue Camichel, BP 7122, 31071 Toulouse Cedex 7, France
J. Faucher*
Affiliation:
Institut National Polytechnique de Toulouse, École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique et d'Hydraulique de Toulouse, Laboratoire d'Électrotechnique et d'Électronique Industrielle (UMR CNRS n° 5828), 2 rue Camichel, BP 7122, 31071 Toulouse Cedex 7, France
*
[email protected]
Get access

Abstract

Fuzzy logic offers nowadays an interesting alternative to the designers of non linear control laws for electrical or electromechanical systems. However, due to the huge number of tuning parameters, this kind of control is only used in a few industrial applications. This paper proposes a new, very simple, on-site tuning strategy for a PID-like fuzzy logic controller. Thanks to the experimental designs methodology, we will propose sets of optimized pre-established settings for this kind of fuzzy controllers. The proposed parameters are only depending on one on-site open-loop identification test. In this way, this on-site tuning methodology has to be compared to the Ziegler-Nichols one's for conventional controllers. Experimental results (on a permanent magnets synchronous motor and on a DC/DC converter) will underline all the efficiency of this tuning methodology. Finally, the field of validity of the proposed pre-established settings will be given.

Keywords

Type
Research Article
Information
The European Physical Journal - Applied Physics , Volume 16 , Issue 3 , December 2001 , pp. 195 - 208
Copyright
© EDP Sciences, 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

V. Broïda, Automatisme, Régulation automatique, Servomécanismes (Dunod, Paris, 1956).
Galichet, S., Foulloy, L., IEEE Trans. Fuzzy Syst. 3, 140 (1995). CrossRef
J. Goupy, La méthode des plans d'expériences (Dunod, Paris, 1988).
D. Hissel, P. Maussion, G. Gateau, J. Faucher, Fuzzy Logic Control Optimization of Electrical Systems using Experimental Designs, in Proc. of the EPE'97 Conference, Trondheim, Norway, 1997, pp. 1.090-1.095.
D. Hissel, P. Maussion, J. Faucher, On Evaluating Robustness of Fuzzy Logic Controllers through Taguchi Methodology, in Proc. of the IECON'98 Conference, Aachen, Germany, 1998, Vol. 1, pp. 17-22.
P. Maussion, D. Hissel, Optimized Fuzzy Logic Controller Parameters for Open-Loop Stable or Evolutive Electromechanical Systems, in Proc. of the IECON'98 Conference, Aachen, Germany, 1998, Vol. 1, pp. 23-27.
Mudi, R.K., Nikhil, R.P., IEEE Trans. Fuzzy Syst. 7, 2 (1999). CrossRef
M. Pillet, Introduction aux plans d'expériences par la méthodologie Taguchi (Les Editions d'Organisation, Paris, 1994).
M. Sugeno, Industrial applications of fuzzy control (Elsevier Science Pub. Co., 1985).
G. Taguchi, M.S. Phadke, Quality Engineering through Design Optimization, in Proc. of the IEEE Globecom Conference, Atlanta, USA, 1984, pp. 1106-1113.
M. Vigier, Pratique des plans d'expériences (Les Editions d'Organisation, Paris, 1991).
J.G. Ziegler, N.B. Nichols, Optimum Settings for Automatic Controllers, in Proc. of ASME Transactions, 1942, Vol. 64, pp. 759-768.