@inproceedings{44e5df16d587438f8f0a8e88a46133e4,
title = "Anti-swing fuzzy control of overhead traveling crane",
abstract = "A new fuzzy controller for anti-swing and positioning control of an overhead traveling crane is proposed based on the SIRMs (Single Input Rule Modules) dynamically connected fuzzy inference model. The trolley position and velocity, the rope swing angle and angular velocity are selected as input items, and the trolley acceleration as output item. With a simple structure, the controller can autonomously adjust the influence of each input item. The control system is further proved to be asymptotically stable near destination. Control simulation results show that the controller is robust to different rope lengths and has generalization ability for different initial positions. Compared with linear state feedback controller, the fuzzy controller can drive the crane to destination in short time with small swing angle.",
author = "Jianqiang Yi and Naoyoshi Yubazaki and Kaoru Hirota",
year = "2002",
language = "English",
isbn = "0780372808",
series = "IEEE International Conference on Plasma Science",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1298--1303",
booktitle = "Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2002",
address = "United States",
note = "2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE 2002 ; Conference date: 12-05-2002 Through 17-05-2002",
}