Aplication of an artificial neural network to positioning of loads in slewing motion of a crane

• Autorzy: Brzozowski K. , Maczyński A.
• Języki publikacji: EN

Abstrakty

EN

From the point of view of safety and efficiency of works performed with the use of a rotary crane the final positioning of a load in the slewing motion of the upper structure is very important. Various methods are used for positioning the load: additional mechanical systems, simultaneous performance of the changing radius motion and the slewing motion so that the load is transported in flat motion. However, many methods are based on steering the slewing motion itself. Sometimes optimization methods are used for this purpose. Due to the time of calculations they cannot be used in real time. Although it is possible to determine drive functions for some defined a priori angles of slewing, the issue of determining drive functions for an arbitrary angle of slewing still needs to be solved. This paper presents a different approach assuming the use of an artificial neural network. Control of slewing by an arbitrary angle in real time can be based on a neural network. Exemplary results of a numerical simulation are presented.

Słowa kluczowe

EN

crane; positioning; artificial neural network

PL

dźwig; pozycjonowanie; sztuczne sieci neuronowe

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mechanics and Engineering
• Rocznik: 2010
• Tom: Vol. 15, no 3
• Strony: 619--628
• Opis fizyczny: Bibliogr. 13 poz., wykr.

Twórcy

autor

Brzozowski K.

autor

Maczyński A.

• University of Bielsko-Biała Willowa Street 2, 43-309 Bielsko-Biała, POLAND,

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