A Neural Network-Based Input Shaping For Swing Suppression Of An Overhead Crane Under Payload Hoisting And Mass Variations

• Main Authors: Jaafar, Hazriq Izzuan, Ramli, Liyana, Mohamed, Zaharuddin
• Format: Article
• Language: English
• Published: Academic Press 2018
• Subjects: Q Science (General); QA Mathematics
• Online Access: http://eprints.utem.edu.my/id/eprint/21807/2/2018_MSSP_107_NNShaper.pdf; http://eprints.utem.edu.my/id/eprint/21807/; https://www.sciencedirect.com/science/article/pii/S0888327018300372

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 prop...