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Warianty tytułu
Języki publikacji
Abstrakty
In paper introduced a review of modern traction vehicle drive system with induction motors drive system (PMSM with a single or dual rotor) or BLDC motor with different configuration of magnetic circuit. For particular part of drive system proposed a quasi intelligent control system version smart control, enables multicriterial, predictive control of vehicle work system. In the paper presented also a selected diagnostic procedures enables monitoring of exploitations parameters, and prediction of probable failure state. For different vehicle work state realized a simulation models and crash test a computer models of exploitations failure
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
154--160, CD
Opis fizyczny
Bibliogr. 8 poz., rys.
Twórcy
autor
- Institute of Electrical Engineering and Automation in Mines, Silesian University of Technology Gliwice, Poland
Bibliografia
- [1]. Chee Shen Lim, N. A. Rahim, Wooi Ping Hew, and Levi, E., "Model predictive control of a two-motor drive with five-leg-inverter supply," IEEE Trans. Ind. Electron., vol. 60, no. 1, pp. 54-65, Jan. 2013.
- [2]. Lucente G, Montari M.: Hybrid modeling of a car driveline for servo-actuated gear shift. Proceedings of the IEEE ISIE’05, June, Dubrovnik, 2005, pp.223-228,
- [3]. Miller J.M., Gao Y., Ehsani M.: Hybrid electric vehicle: overview and state of art. Proceedings of the IEEE ISIE’05, June, Dubrovnik, 2005, pp. 307-315
- [4]. Engineering smart control system. Brochures of Siemens and ABB
- [5]. Szymański Z.: Optimum control system of wheel and rail vehicle with hybrid drive system. Proceeding of International Conference MET’05, październik, Warszawa, 2005r, printed in polish
- [6]. Szymański Z.: Multilevel control system of traction vehicle drive system with electric and hybrid drive. Czasopismo Techniczne Politechniki Krakowskiej nr.5, Kraków 2007r, in polish
- [7]. Szymański Z. Quasi dynamic model of traction vehicle with electric and hybrid drive system. Czasopismo Techniczne Politechniki Krakowskiej nr.5, Kraków 2013r, in polish
- [8]. Tomoyoki N.: Vehicle crash predictive and evasing operation system by neural network. United States Patent No 5,541,590
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-32d527b1-0d8a-4e8c-aff1-c30fe3c69e99