Payload swing control of a tower crane using a neural network–based input shaper
This paper proposes an input shaping technique for efficient payload swing control of a tower crane with cable length variations. Artificial neural network is utilized to design a zero vibration derivative shaper that can be updated according to different cable lengths as the natural frequency and d...
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Main Authors: | Fasih, S. M., Mohamed, Zaharuddin, Husain, Abdul Rashid, Ramli, Liyana, Abdullahi, Auwalu, Anjum, Waqas |
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Format: | Article |
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SAGE Publications Ltd
2020
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Online Access: | http://eprints.utm.my/id/eprint/89989/ http://dx.doi.org/10.1177/0020294020920895 |
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