Adaptive input shaper for payload swing control of a 5-DOF tower crane with parameter uncertainties and obstacle avoidance
This paper proposes an adaptive input shaper for swing control of a five degrees of freedom tower crane under various parameter uncertainties together with payload hoisting and simultaneous motions. The real-time adaptive mechanism is designed using neural network and the shaper parameters can be up...
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Main Authors: | , , , , , , |
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Format: | Article |
Published: |
Elsevier B.V.
2023
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Subjects: | |
Online Access: | http://eprints.utm.my/105417/ http://dx.doi.org/10.1016/j.autcon.2023.104963 |
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Institution: | Universiti Teknologi Malaysia |
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