Optimization of sliding contact parameters for DC electrical machine by methods of artificial intelligence

• Autorzy: Baros M. , Veselka F. , Hammer M.
• Języki publikacji: EN

Abstrakty

EN

The paper deals with parameter optimization of a sliding contact equivalent diagram for a DC machine by the methods of artificial intelligence, especially by a genetic algorithm. The emphasis is put on reaching the maximum of sparking and the minimum of losses. Firstly, the equivalent diagram of DC machine sliding contact used is described, and its mathematical model is analysed. Secondly, a numerical calculation is performed. In conclusion, the sliding contact is optimized by means of genetic algorithms. The parameters are selected for the optimized solution, a purpose (criterion) function is created and the results of optimized values are obtained and discussed.

Słowa kluczowe

EN

electrical machine; commutation; sliding contact; artificial intelligence; genetic algorithm

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Elektryka / Politechnika Śląska
• Rocznik: 2001
• Tom: z. 177
• Strony: 275--278
• Opis fizyczny: Bibliogr. 4 poz.

Twórcy

autor

Baros M.

autor

Veselka F.

autor

Hammer M.

• Brno University of Technology. Faculty of Electrical Engineering and Computer Science. Department of Power Electrical and Electronic Engineering, 616 00 Brno, Technicka 8,