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The impact of the FLC controller’s settings on the precision of the positioning of a payload transferred by a mobile crane

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents a model of a control system of the slewing motion of a mobile crane in which the FLC controller was used, and then selected results of the numerical simulations of this model were presented. The influence of this controller’s settings on the precision with which the payload is positioned after it has been transferred to a target point for different angles of rotation of the jib, different lengths of the rope and different input signals of the controller was investigated.
Rocznik
Strony
181--184
Opis fizyczny
Bibliogr. 24 poz., rys., wykr.
Twórcy
  • Faculty of Mechanical Engineering and Computer Science, University of Bielsko-Biała, ul. Willowa 2, 43-309, Bielsko-Biała, Poland
autor
  • Faculty of Mechanical Engineering and Computer Science, University of Bielsko-Biała, ul. Willowa 2, 43-309, Bielsko-Biała, Poland
autor
  • Faculty of Mechanical Engineering and Computer Science, University of Bielsko-Biała, ul. Willowa 2, 43-309, Bielsko-Biała, Poland
Bibliografia
  • 1. Al-Humaidi H. M., Hadipriono Tan F. (2009), Mobile crane safe operation approach to prevent electrocution using fuzzy-set logic models, Advances in Engineering Software, 40, 686-696.
  • 2. Cho S. K., Lee H. H. (2002), A fuzzy-logic antiswing controller for three-dimensional overhead cranes, ISA Transactions, 41, 235-243.
  • 3. Hong K. S., Ngo Q. H. (2012), Dynamics of the container crane on a mobile harbor, Ocean Engineering, 53, 16-24.
  • 4. Janusz J., Kłosiński J. (2008), Fuzzy controlling of a mobile crane ensuring stable work, Acta Mechanica Slovaca, 3-C, 215-222.
  • 5. Jerman B., Podrzaj P., Kramar J. (2004), An investigation of slewing-crane dynamics during slewing motion – development and verification of a mathematical model, International Journal of Mechanical Sciences, 46, 729-750.
  • 6. Ju F., Choo Y. S. Cui F. S. (2006),Dynamic response of tower crane induced by pendulum motion of the payload, International Journal of Solids and Structures, 43, 376-389.
  • 7. Kłosiński J. (2005), Swing-free stop control of the slewing motion of the mobile crane, Control Engineering Practice, 13, 451-460. 8. Kłosiński J. Majewski L. (2004), Numerical investigations of the system with fuzzy logic controller used to controlling the working motion of mobile crane, Proceedings of the IX Conference on the TMM, Liberec, 445-450.
  • 9. Kłosiński J., Janusz J. (2009), Control of operational motions of a mobile crane under a threat of loss of stability, Solid State Phenomena, Vol.144, 77-82.
  • 10. Kłosiński J. (2011), Fuzzy logic-based control of a mobile crane slewing motion, Mechanics and Mechanical Engineering, Vol. 15, No 4, 73-80.
  • 11. Lee T. Y., Lee S. R. (2002), Anti-sway and position 3D control of the nonlinear crane system using fuzzy algorithm, Inter. Journal of the Korean Society of Precision Engineering, Vol.3, No.1, 66-75.
  • 12. Liu D., Yi J., Zhao D., Wang W. (2005), Adaptive sliding mode fuzzy control for a two-dimensional overhead crane, Mechatronics, 15, 505-522.
  • 13. Mahfouf M., Kee C. H., Abbod M. F., Linkens D. A. (2000), Fuzzy logic-based anti-sway control design for overhead cranes, Neural Computing & Applications, 9, 38-43.
  • 14. Neupert J., Arnold E., Schneider K., Sawodny O. (2010), Tracking and anti-sway control for boom cranes, Control Engineering Practice, 18, 31-44.
  • 15. Pędrak T., Kłosiński J. (2009), Control of mobile crane by means of fuzzy logic controller, Solid State Phenomena, Vol.144, 202-207.
  • 16. Schaub H. (2008), Rate-based ship-mounted crane payload pendulation control system, Control Engineering Practice, 16, 132-145.
  • 17. Smoczek J. (2014), Fuzzy crane control with sensorless payload deflection feedback for vibration reduction, Mechanical Systems and Signal Processing, 46, 70-81.
  • 18. Smoczek J., Szpytko J. (2012), Design of gain scheduling anti-sway controller using genetic fuzzy system, 17th IFAC Int. Conf. on Methods and Models in Automation and Robotics MMAR, 573-578.
  • 19. Smoczek J., Szpytko J., Hyla, P. (2013), The anti-sway crane control system with using dynamic vision system, Solid State Phenomena, 198, 589-593.
  • 20. Sochacki W. (2007), The dynamic stability of a laboratory model of a truck crane, Thin-Walled Structures, 45, 927-930.
  • 21. Solihin M., Wahyudi I., Legowo A. (2010), Fuzzy-tuned antiswing control of automatic gantry crane, Journal of Vibration and Control, 16(1), 127-145.
  • 22. Terashima K., Shen Y., Yano K. (2007), Modeling and optimal control of a rotary crane using the straight transfer transformation method, Control Engineering Practice, 15, 1179-1192.
  • 23. Tomczyk J., Cink J., Kosucki A. (2014), Dynamics of an overhead crane under a wind disturbance condition, Automation in Construction, 42, 100-111.
  • 24. Yi J., Yubazaki N., Hirota K. (2003), Anti-swing and positioning control of overhead traveling crane, Information Sciences, 155,19-42.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e9c0754d-d91d-4c76-83a7-2be8a13b1854
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