caa a22 4500 475833872 CHVBK 20180406123848.0 cr unu---uuuuu 170329e20000501xx s 000 0 eng 10.1007/s005210070033 doi (NATIONALLICENCE)springer-10.1007/s005210070033 Fuzzy Logic-Based Anti-Sway Control Design for Overhead Cranes [Elektronische Daten] [M. Mahfouf, C. H. Kee, M. F. Abbod, D. A. Linkens] A non-linear model for an overhead crane system is derived which takes into account a combination of a trolley and a pendulum. The overall mathematical model obtained is simulated using MATLAB-SIMULINK. Open-loop simulations run on cases depending on whether the air resistance is taken into account or not, and whether the angle of oscillation is small or large, indicate the validity of such model, hence reflecting similar trends in industries which are concerned with material handling equipment. A hand-crafted fuzzy controller, which includes two rule bases, one for position control, the other for sway-angle control, was designed and successfully implemented on the above simulated model. Preliminary results are very encouraging, and indicate the feasibility of such a two rule base control strategy. The results obtained are presented, analysed and discussed.: Springer-Verlag London Limited, 2000 Keywords: Crane control nationallicence Fuzzy logic nationallicence Modelling nationallicence Non-linear nationallicence Rule-base !--RID=""--> nationallicence Mahfouf M. Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK, GB aut Kee C. H. Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK, GB aut Abbod M. F. Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK, GB aut Linkens D. A. Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK, GB aut https://doi.org/10.1007/s005210070033 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s005210070033 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mahfouf M. Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK, GB aut NATIONALLICENCE 700 1- Kee C. H. Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK, GB aut NATIONALLICENCE 700 1- Abbod M. F. Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK, GB aut NATIONALLICENCE 700 1- Linkens D. A. Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK, GB aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer