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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
SAGE Publications Ltd
2020
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| Subjects: |