Lewis Yip
Multibody simulations of distributed flight arrays for Industry 4.0 applications
Yip, Lewis; Nemati, Hamidreza; Mercorelli, Paolo; Zhu, Quanmin
Authors
Hamidreza Nemati Hamidreza.Nemati@uwe.ac.uk
Lecturer in Aerospace Engineering
Paolo Mercorelli
Quan Zhu Quan.Zhu@uwe.ac.uk
Professor in Control Systems
Abstract
Distributed Flight Arrays (DFAs) are an experimental type of aerial, multi-rotor, vehicle capable of land-based navigation and cooperative aerial flight involving physically docking with N-number of other agents forming a larger structure with some designs allowing for unassisted solo flight. DFAs would be able to be configured into the most resource efficient structures for achieving a specific logistics operation and be capable of manoeuvring around the warehouse environment in a relatively unrestricted manner. For the application of material handling a reliable, predictable, and safe mode of transporting a payload is required. Gathering large amounts of data across a large variety of payload systems and DFA formations is an extremely large undertaking when done through real world experimentation. This large scope is much more suitable for a computer-based physics simulation as they allow for rapid iteration and data gathering without the high resource investment of real-world experimentation. This research finds that the multibody simulation software Simscape is capable of complex control system simulation research for handling the flight and navigation of a DFA and that DFA slung payload systems are highly likely to be compatible with future material handling operations due to developments in automation in Industry 4.0.
Online Publication Date | Jan 12, 2024 |
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Publication Date | Jan 12, 2024 |
Deposit Date | Feb 24, 2024 |
Publisher | Elsevier |
Pages | 247 - 278 |
Book Title | Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 |
Chapter Number | 11 |
ISBN | 9780323952071 |
DOI | https://doi.org/10.1016/C2021-0-02869-8 |
Public URL | https://uwe-repository.worktribe.com/output/11745954 |
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