A New Approach for Controlling Overhead Traveling Crane Using Rough Controller

This paper presents the idea of a rough controller with application to control the overhead traveling crane system. The structure of such a controller is based on a suggested concept of a fuzzy logic controller. A measure of fuzziness in rough sets is introduced. A comparison between fuzzy logic controller and rough controller has been demonstrated. The results of a simulation comparing the performance of both controllers are shown. From these results we infer that the performance of the proposed rough controller is satisfactory.

• Mazin Z. Othman

• Accuracy measure
• Fuzzy Logic Controller (FLC)
• Overhead Traveling Crane (OTC)
• Rough Set Theory (RST)
• Roughness measure

[1] Nally M. J. and M. B. Tarbia, "Design of a Fuzzy Logic Controller for
Swing-Damped Transport of an Overhead Crane Payload," in
Proceedings of the ASME Dynamic Systems and Control Division, DSCVol.
58, 1994.
[2] Mahfouf M., Kee C.H., and Linkens D.A., "Fuzzy Logic-Based Anti-
Sway Control Design for Overhead Cranes," Neural Computing and
Applications, Vol. 9, 2000.
[3] Ho-Hoon Lee and Sung-Kun C. "A Fuzzy-Logic Antiswing Controller
for Three-Dimensional Overhead Cranes", a, Tulane University, USA,
2002.
[4] Pawlak Z., "Rough Set and Fuzzy Sets and Systems," No. 17, 1985.
[5] Dubois D. H. Prade, "Rough Fuzzy Sets and Fuzzy Rough Sets," Int. J.
General Systems, No. 17, 1990.
[6] Do─ƒan Coker,"Fuzzy Rough Sets are Intuitionistic L-Fuzzy Sets," Fuzzy
Sets and Systems, Vol. 96, 1998.
[7] Kankana C., Ranjit B., and Sudarsan N., "Fuzziness in Rough Sets,"
Fuzzy Sets and Systems, Vol. 110, 2000.
[8] Ho-Hoon Lee, "Modeling and Control of a Three-Dimensional
Overhead Crane," J. of Dynamic Systems, Measurement, and Control,
1998.