The Impact of the FLC Controller’s Settings on the Precision of the Positioning of a Payload Transferred by a Mobile Crane

Kłosiński, Jacek; Janusz, Jarosław; Nycz, Rafał

doi:10.2478/ama-2014-0032

Abstract

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.

References

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, 686-696.10.1016/j.advengsoft.2008.11.016
Search in Google Scholar
2. Cho S. K., Lee H. H. (2002), A fuzzy-logic antiswing controller for three-dimensional overhead cranes, ISA Transactions, 41, 235-243.10.1016/S0019-0578(07)60083-4
Search in Google Scholar
3. Hong K. S., Ngo Q. H. (2012), Dynamics of the container crane on a mobile harbor, Ocean Engineering, 53, 16-24.10.1016/j.oceaneng.2012.06.013
Search in Google Scholar
4. Janusz J., Kłosiński J. (2008), Fuzzy controlling of a mobile crane ensuring stable work, Acta Mechanica Slovaca, 3-C, 215-222.
Search in Google Scholar
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, 729-750.10.1016/j.ijmecsci.2004.05.006
Search in Google Scholar
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, 376-389.10.1016/j.ijsolstr.2005.03.078
Search in Google Scholar
7. Kłosiński J. (2005), Swing-free stop control of the slewing motion of the mobile crane, Control Engineering Practice, 13, 451-460.10.1016/j.conengprac.2004.04.007
Search in Google Scholar
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.
Search in Google Scholar
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.
Search in Google Scholar
10. Kłosiński J. (2011), Fuzzy logic-based control of a mobile crane slewing motion, Mechanics and Mechanical Engineering, Vol. 15, No 4, 73-80.
Search in Google Scholar
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.
Search in Google Scholar
12. Liu D., Yi J., Zhao D., Wang W. (2005), Adaptive sliding mode fuzzy control for a two-dimensional overhead crane, Mechatronics, 15, 505-522.10.1016/j.mechatronics.2004.11.004
Search in Google Scholar
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, 38-43.10.1007/s005210070033
Search in Google Scholar
14. Neupert J., Arnold E., Schneider K., Sawodny O. (2010), Tracking and anti-sway control for boom cranes, Control Engineering Practice, 18, 31-44.10.1016/j.conengprac.2009.08.003
Search in Google Scholar
15. Pędrak T., Kłosiński J. (2009), Control of mobile crane by means of fuzzy logic controller, Solid State Phenomena, Vol.144, 202-207.
Search in Google Scholar
16. Schaub H. (2008), Rate-based ship-mounted crane payload pendulation control system, Control Engineering Practice, 16, 132-145.10.1016/j.conengprac.2007.04.011
Search in Google Scholar
17. Smoczek J. (2014), Fuzzy crane control with sensorless payload deflection feedback for vibration reduction, Mechanical Systems and Signal Processing, 46, 70-81.10.1016/j.ymssp.2013.12.012
Search in Google Scholar
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.
Search in Google Scholar
19. Smoczek J., Szpytko J., Hyla, P. (2013), The anti-sway crane control system with using dynamic vision system, Solid State Phenomena, 198, 589-593.10.4028/www.scientific.net/SSP.198.589
Search in Google Scholar
20. Sochacki W. (2007), The dynamic stability of a laboratory model of a truck crane, Thin-Walled Structures, 45, 927-930.10.1016/j.tws.2007.08.023
Search in Google Scholar
21. Solihin M., Wahyudi I., Legowo A. (2010), Fuzzy-tuned antiswing control of automatic gantry crane, Journal of Vibration and Control, 16(1), 127-145.10.1177/1077546309103421
Search in Google Scholar
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, 1179-1192.10.1016/j.conengprac.2007.02.008
Search in Google Scholar
23. Tomczyk J., Cink J., Kosucki A. (2014), Dynamics of an overhead crane under a wind disturbance condition, Automation in Construction, 42, 100-111.10.1016/j.autcon.2014.02.013
Search in Google Scholar
24. Yi J., Yubazaki N., Hirota K. (2003), Anti-swing and positioning control of overhead traveling crane, Information Sciences, 155,19-4210.1016/S0020-0255(03)00127-0
Search in Google Scholar

The Impact of the FLC Controller’s Settings on the Precision of the Positioning of a Payload Transferred by a Mobile Crane

Abstract

Paradigm

My account