Gantry Crane Structure Seismic Control by the use of Fuzzy PID Controller

Abstract

This paper represents the design of fuzzy PID type controller (FPIDC) to improve seismic control performance of a gantry crane structure against earthquakes. Vibration control using intelligent controllers, such as fuzzy logic has attracted the attention of structural control engineers during the last few years, because fuzzy logic can handle, uncertainties and heuristic knowledge and even non-linearities effectively and easily. The simulated system has a six degrees-of-freedom and modeled system was simulated against the ground motion of the El Centro earthquake. Finally, the time history of the crane bridge and portal legs displacements, accelerations, control forces and frequency responses of the both uncontrolled and controlled cases are presented. Simulation results exhibit that superior vibration suppression is achieved by the use of designed fuzzy PID type controller. 

Keywords: Fuzzy PID type controller, Earthquake-induced vibration, Vibration control, Gantry crane structure

Keywords

• Fuzzy PID type controller
• Earthquake-induced vibration
• Vibration control
• Gantry crane structure

References

1. Koshab, B. and Jacobs, L., “Seismic Performance of Container Cranes”, Seismic Risk Management for Port Systems, NEESR Grand Challenge Third Annual Meeting, Georgia Institute of Technology, Atlanta, GA, (2008).
2. Abdel-Rahman, E.M., Nayfeh, A.H. and Masoud, Z.N., “Dynamics and Control of Cranes”, Journal of Vibration and Control, 9: 863-908, (2003).
3. Kobayashi, N., Kuribara, H., Honda, T. and Watanabe, M., “Nonlinear Seismic Responses of Container Cranes Including the Contact Problem Between Wheels and Rails”, Journal of Pressure Vessel Technology, 126: 59-65, (2004).
4. Otani, A., Nagashima, K. and Suzuki, J., “Vertical Seismic Response of Overhead Crane”, Nuclear Engineering and Design, 212: 211-220, (2002).
5. Soderberg, E. and Jordan, M., “Seismic Response of Jumbo Container Cranes and Design Recommendations to Limit Damage and Prevent Collapse”, ASCE Ports 2007 Conference, San Diago, CA., (2007).
6. Sagirli, A., Azeloglu, C.O., Guclu, R. and Yazici, H., “Self-tuning Fuzzy Logic Control of Crane Structures against Earthquake Induced Vibration”, Nonlinear Dynamics, 64: 375-384, (2011).
7. Lynch, J.P., “Active structural control research at Kajima
8. Foundation’s Summer Institute in Japan Program, Research Project, pp.11, (2008). The National

9. Science [8] Agarwala, R., Ozcelik, S., McLauchlan, R.A. and Faruqi, M., “Active vibration control of multi-degree-of freedom structure by the use of fuzzy gain scheduling of PID controllers”, Artifical Neural Networks in Engineering (ANNIE), (2000).
10. Zadeh, L., “Fuzzy sets”, Journal of Information
11. and Control, 8: 338-353, (1965).
12. Mamdani, E.H., “Application of fuzzy algorithms for control of simple dynamic plants”, IEEE 121(12): 1585–1588, (1974).
13. Guclu, R., “Fuzzy logic control of seat vibrations of a non-linear full vehicle model”, Nonlinear Dynamics, 40(1): 21-34, (2005).
14. Yesil, E., Guzelkaya, M. and Eksin, I., “Self-tuning of PID type load and frequancy controller”, Energy Conversion and Management 45: 377-390, (2004). 102 frequency (Hz)