A neural network-based input shaping for swing suppression of an overhead crane under payload hoisting and mass variations

• Main Authors: Ramli, Liyana, Mohamed, Zaharuddin, Jaafar, Hazriq Izzuan
• Format: Article
• Published: Elsevier Ltd 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/85944/; http://dx.doi.org/10.1016/j.ymssp.2018.01.029

This paper proposes an improved input shaping for minimising payload swing of an overhead crane with payload hoisting and payload mass variations. A real time unity magnitude zero vibration (UMZV) shaper is designed by using an artificial neural network trained by particle swarm optimisation. The pr...