Anti-swing fuzzy control of overhead traveling crane

IEEE International Conference on Fuzzy Systems

Volumn 2, Issue , 2002, Pages 1298-1303

  Yi, Jianqiang ^a   Yubazaki, Naoyoshi ^b   Hirota, Kaoru ^c  

^a INSTITUTE OF AUTOMATION   (China)

^b Mycom Inc   (Japan)

^c TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ANGULAR VELOCITY; FUZZY CONTROLLER; OVERHEAD TRAVELING CRANE; SINGLE INPUT RULE MODULES; SWING ANGLE;

ANGLE MEASUREMENT; COMPUTER SIMULATION; FEEDBACK CONTROL; GANTRY CRANES; MECHANICAL CONTROL EQUIPMENT; POSITION CONTROL; ROBUSTNESS (CONTROL SYSTEMS); VELOCITY CONTROL;

FUZZY CONTROL;

EID: 0036454183     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. G. Corriga, A. Giua, and G. Usai "An Implicit Gain-Scheduling Controller for Cranes," IEEE Transactions on Control Systems Technology, Vol.6:1, pp. 15-20, 1998.
2. Z. Kang, S. Fujii, C. Zhou, and K. Ogata, "Adaptive Control of a Planar Gantry Crane by the Switching of Controllers," Transactions of Society of Instrument and Control Engineers, Vol. 35:2, pp. 253-261, 1999.
3. ∞ control Theory," Proceedings of AMC'2000, pp.131-134, 2000.
4. T. Mita and T. Kanai, "Optimal Control of Crane System Using the Maximum Speed of the Trolley," Transactions of the Society of Instrument and Control Engineers, Vol. 15:6, pp. 833-838, 1979.
5. O. Itoh, H. Migita, J. Itoh, and Y. Irie, "Application of Fuzzy Control to Automatic Crane Operation," Proceedings of IECON'93, Vol. 1, pp. 161-164, 1993.
6. M. Nalley and M. B. Tabia, "Control of Overhead Cranes Using a Fuzzy Logic Controller," Journal of Intelligent and Fuzzy Systems, Vol. 8:1, pp. 1-18, 2000.
7. J. Yi, N. Yubazaki, K. Hirota, "A Proposal of SIRMs Dynamically Connected Fuzzy Inference Model for Plural Input Fuzzy Control," Fuzzy Sets and Systems, Vol. 125, No.1, pp. 79-92, 2001.
8. J. Yi, N. Yubazaki, K. Hirota, "Stability Analysis of SIRMs Dynamically Connected Fuzzy Inference Model," Proceedings of FUZZ-IEEE'2001, 2001.