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2 Prace Naukowe Instytutu Podstaw Elektrotechniki i Elektrotechnologii Politechniki Wrocławskiej. Konferencje

2 2004

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Investigation of the influence of sugeno fuzzy regulator parameters on the modelling process of insulating material for electrical rotary machines

Hammer M., Szabo R., Svoboda J., Riha Z., Latina P., Vavruska J.

Prace Naukowe Instytutu Podstaw Elektrotechniki i Elektrotechnologii Politechniki Wrocławskiej. Konferencje

2004

Vol. 40, nr 15

200-203

The contribution deals with the use of fuzzy regulators, which are used for modelling and identification of insulating materials for electrical rotary machines. For this purpose, we have used the fuzzy controller with the Sugeno fuzzy inference engine. The objective of this contribution is to outline the problems of adjusting the Sugeno fuzzy controller and determining what of the parameters have dominant influence on the time curve of the identification process of insulating material. By using the term "identification process", we understand the determination of the insulating material parameters on the basis of which it is possible to predict the lifetime of the insulating material.

Influence of fuzzy predictor parameters on the prediction of the residual lifetime of electrical rotary machine insulation

Hammer M., Svoboda J., Szabo R., Riha Z., Latina P., Vavruska J.

Prace Naukowe Instytutu Podstaw Elektrotechniki i Elektrotechnologii Politechniki Wrocławskiej. Konferencje

2004

Vol. 40, nr 15

204--207

The contribution deals with the lifetime prediction of the Relanex insulating material used for the electrical rotary machine windings. By means of quantities Bv, Ba, Uk and utilizing the fuzzy apparatus in the form of fuzzy predictor, we determine the intensity of breakdown voltage and, consequently, the current state of the insulating material from the point of view of electric strength and the lifetime prediction of the material. To predict the breakdown voltage intensity, the fuzzy predictor of Sugeno type was used, particularly for easy setting of input parameters. According to the matrix of the values of individual inputs (Bv, Ba, Uk, Up) measured and the subsequent training phase, it is possible to predict the values of critical voltage Ups that can be further compared with real breakdown voltages Up and to make evaluations on the basis of relative and absolute errors.