Abstract
This paper presents fuzzy-based design for the control of overhead crane. Instead of analyzing the complex nonlinear crane system, the proposed approach uses simple but effective way to control the crane. There are twin fuzzy controllers which deal with the feedback information, the position of trolley crane and the swing angle of load, to suppress the sway and accelerate the speed when the crane transports the heavy load. This approach simplifies the designing procedure of crane controller; besides, the twin controller method reduces the rule number when fulfilling the fuzzy system. Finally, experimental results through the crane model demonstrate the effectiveness of the scheme.
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This work was supported by the National Science Council of the Republic of China (No. NSC-91-2213-E-231-007).
Chengyuan CHANG was born in Taiwan, R.O.C., in 1968. He received the B.S. and M.S. degrees in electrical and control engineering from National Chiao-Tung University, Hsin-Chu, Taiwan, R.O.C. , in 1990 and 1994, and the Ph.D. degree in electrical engineering from I National Central University in 2000. He is currently an Associate Professor in the Department of Electronic Engineering, Ching Yun University, Jhongli, Taiwan, R.O.C. His current research interests are in the area of fuzzy controller, neural networks and control theory applications. E-mail: cychang@cyu.edu.tw.
Shihwei HSU received the B. S degree in electronic engineering from Ching Yun University, Tao-Yuan, Taiwan, R.O.C, in 2005. He is currently working towards the M.S. degree in automation technology at National Taipei University of Technology, Taipei, Taiwan, R.O.C.His research interests are in the areas of fuzzy, neural networks and control theory applications.
Kuohung CHIANG was born in Hsinchu, Taiwan, R.O.C, in 1980. He received the B. S. degree in electronic engineering from Ching Yun University, Tao-yuan, Taiwan, in 2005. He is currently pursuing the M.S. degree with Fu-Jen Catholic University, Taipei, Taiwan. His current research focuses are fuzzy logic control and sliding mode control for three-dimensional overhead crane system.
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Chang, C., Hsu, S. & Chiang, K. A practical fuzzy controllers scheme of overhead crane. J. Control Theory Appl. 3, 266–270 (2005). https://doi.org/10.1007/s11768-005-0047-9
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DOI: https://doi.org/10.1007/s11768-005-0047-9