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: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2020-08-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/0020294020920895 |