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

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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.
Rocznik
Strony
619--628
Opis fizyczny
Bibliogr. 13 poz., wykr.
Twórcy
Bibliografia
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  • Balachandran B., Li YY. and Fang C.C. (1999): A mechanical filter concept for control of non-linear crane-load oscillations. – Journal of Sound and Vibrations, vol.228, pp.651-682.
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  • Maczyński A. (2003); Determination of drive functions of slewing of a mobile crane which minimize load oscillations. – The Archive of Mechanical Engineering, vol.L, No.2, pp.167-199.
  • Maczyński A. (2003): Load positioning and minimization of load oscillations for rotary cranes. – Journal of Theoretical and Applied Mechanics, vol.41, No.4, pp.873-885.
  • Maczyński A. and Płosa J. (2008): Experimental verification of a method of final load positioning for rotary cranes. – Journal of Theoretical and Applied Mechanics, vol.2, No.46, pp.443-455.
  • Maczyński A. and Wojciech S. (2003): Dynamics of a mobile crane and optimisation of the slewing motion of its upper structure. – Nonlinear Dynamics, vol.32, pp.259-290.
  • Osowski S. (1996): Neural networks algorithms. – WNT, Warsaw (in Polish).
  • Parker G.G., Groom K., Hurtado J.E., Feddema J., Robinett R.D. and Leban F. (1999): Experimental verification of a command shaping boom crane control system. – American Control Conference, San Diego, California, June, pp.86-90.
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  • Żurada J., Barski M. and Jędruch W. (1996): Artificial neural networks: – Polish Scientific Publishers PWN, Warsaw (in Polish).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ5-0004-0039
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