ANTI-SWING TRACKING CONTROL FOR 2D OVERHEAD CRANE USING DOUBLE LAYER FUZZY LOGIC CONTROLLERS

Thuy Nga Thi Vu, Hai Xuan Le, Anh Viet Le, Truong Van Ta, Hiep Nghia Hoang, Kim Duyen Thi Ha, Minh Xuan Phan

Abstract


In this paper, a simple and efficient technique to control overhead crane based on fuzzy logic inferrence system is proposed. A second order fuzzy logic controller (DLFLC) is proposed to track the desire position, aliminate the payload swing and resist unknown dirturbance exerted on the system. The simulation and experiment results show that the improvement of proposed control scheme for example smaller swing, improved accuratly position.


Full Text:

Pdf

References


J. Yu, F.L. Lewis, T. Huang, “Nonlinear feedback control of a gantry crane”, American Control Conference, Proceedings of the 1995, Jun. 1995

Park H., Chwa D. and Hong K. S.,“A feedback linearization control of container cranes: Varying rope length”, Int. J. Control Autom. Syst 5 (4), pp. 379 – 387, Aug. 2007.

W. Wang, J. Q. Yi, D. B. Zhao, D. T. Liu,“Anti-swing control of overhead cranes based on sliding-mode method”, Control theory and Applications, pp1013-1016, Sep.2004.

H. Lee, Y. Liang, and D. Segura, “A sliding-mode antiswing trajectory control for overhead cranes with high-speed load hoisting”, Trans. ASME, J. Dyn. Syst. Meas. Control, vol. 128, no. 4, pp. 842–845, Dec. 2006.

Benhidjeb A, Gissinger GL, “Fuzzy control of an overhead crane performance comparison with classic control”, Control EngPract,pg. 1687-1696, Volume 3, Issue 12, Dec. 1995.

M. Mahfouf, C. H. Kee, M. F. Abbod and D. A. Linkens, “Fuzzy Logic Based AntiSway Control Design for Overhead Cranes”, Neural Computing &Applications, Volume 9, Issue 1, pp 38–43, May 2000.

Nalley Michael J., Trabia Mohamed B., “Control of overhead cranes using a fuzzy logic controller“, Journal of Intelligent and Fuzzy Systems, vol. 8, no. 1, pp. 1-18, 2000

Cheng-Yuan Chang, “Adaptive Fuzzy Controller of the Overhead Cranes With Nonlinear Disturbance”, IEEE Transactions on Industrial Informatics, pg. 164 - 172, May 2007

Lifu Wang, Hongbo Zhang, Zhi Kong, “Anti-swing Control of Overhead Crane Based on Double Fuzzy Controllers”, The 27th Chinese Control and Decision Conference , pp. 981 – 986, May 2015.

A. K. Pal, R. K. Mudi, “An Adaptive Fuzzy Controller for Overhead Crane”, IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), Aug. 2012.

Cheng-Yuan Chang, “Adaptive Fuzzy Controller of the Overhead Cranes With Nonlinear Disturbance”, IEEE Transactions on Industrial Informatics, vol. 3, no. 2, pp. 164-172, May 2007.

Leila Ranjbari, Amir H. Shirdel, M. Aslahi-Shahri, S. Anbari, A. Ebrahimi, M. Darvishi, M. Alizadeh, RasoulRahmani, M. Seyedmahmoudian, “Designing precision fuzzy controller for load swing of an overhead crane”, Neural Comput&Applic, Volume 26, Issue 7, pp 1555–1560, Oct. 2015

Liu D, Yi J, Zhao D, Wang W,“Adaptive sliding mode fuzzy control for a twodimensional overhead crane”, Mechatronics 15(5):505–522, Mar. 2005

M. S. Park, D. Chwa, and S.K. Hong, “Antisway tracking control of overhead cranes with system uncertainty and actuator nonlinearity using an adaptive fuzzy sliding mode control”, IEEE Trans. Ind. Electron., vol. 55, no. 11, pp. 1677–1684, Nov. 2008.

X. Li, W. Yu, “Anti-Swing Control For An Overhead Crane With Fuzzy Compensation”, Intelligent Automation & Soft Computing, pp.1-11, Mar. 2013.

Tomohiro Takagi, MichioSugeno,“Fuzzy identification of systems and its applications to modeling and control”, IEEE Transactions on Systems, Man, and Cybernetics, Volume: SMC-15, Issue: 1, pp 116 - 132, Sep. 1985.

Hai L. X., Thai N. V., Duong B. T., Nga V. T. T., Nguyen T. H., Minh P. X. “Implementation of a laboratory overhead crane control”, Journal of military scientific research and technology, No14, Aug. 2016.


Refbacks



Indexed by: Google Scholar.

Lớp dạy vẽ ở Mỹ Đình