Journal
CMC-COMPUTERS MATERIALS & CONTINUA
Volume 61, Issue 1, Pages 119-128Publisher
TECH SCIENCE PRESS
DOI: 10.32604/cmc.2019.05274
Keywords
Sliding mode control; fuzzy logic theory; systems optimization
Funding
- Natural Science Foundation of Jiangsu Province [BK20160913]
- Natural Science Foundation of the Jiangsu Higher Education Institutions of China [18KJB520035]
- High Level Teacher Research Foundation of Nanjing University of Posts and Telecommunications [NY2016021]
- Incubation Foundation of Nanjing University of Posts and Telecommunications [NY217055]
- Postdoctoral Foundation of Jiangsu Province [1701016A]
- Natural Science Foundation of China [61602259, 61373135, 61672299]
- National Engineering Laboratory for Logistics Information Technology, YuanTong Express Co. LTD.
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For enhancing the control effectiveness, we firstly design a fuzzy logic based sliding mode controller (FSMC) for nonlinear crane systems. On basis of overhead crane dynamic characteristic, the sliding mode function with regard to trolley position and payload angle. Additionally, in order to eliminate the chattering problem of sliding mode control, the fuzzy logic theory is adopted to soften the control performance. Moreover, aiming at the FSMC parameter setting problem, a DE algorithm based optimization scheme is proposed for enhancing the control performance. Finally, by implementing the computer simulation, the DE based FSMC can effectively tackle the overhead crane sway problem and avoid unexpected accident greatly.
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