Optimisation criteria in development of fuzzy controllers with dynamics

Authors:
Radu-Emil Precup;Stefan Preitl
Affiliations:
Department of Automation and Industrial Informatics, Politehnica University of Timisoara, Bd. V. Parvan 2, RO-300223 Timisoara, Romania;Department of Automation and Industrial Informatics, Politehnica University of Timisoara, Bd. V. Parvan 2, RO-300223 Timisoara, Romania
Venue:
Engineering Applications of Artificial Intelligence
Year:
2004

Citing 15
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Abstract

The paper proposes new optimisation criteria as extended quadratic performance indices (QPIs) that can be used in the development of fuzzy controllers (FC) with dynamics based on an attractive development method for a Takagi-Sugeno PI-fuzzy controller meant for controlling a class of plants with variable parameters applicable to servo systems. In the first phase, there are derived sensitivity models with respect to the parametric variations of the controlled plant used in decision making concerning the operating mode of the FC. The developed fuzzy control systems can be considered suboptimal in terms of the optimisation criteria defined in dynamic regimes with respect to modifications (particularly of step type) of the reference input and of four disturbance input scenarios, and quasi-insensitive with respect to the parametric variations of the controlled plant.