Multibody simulations of distributed flight arrays for Industry 4.0 applications
Research output: Contributions to collected editions/works › Chapter › peer-review
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Multibody simulations of distributed flight arrays for Industry 4.0 applications. / Yip, Lewis; Nemati, Hamidreza; Mercorelli, Paolo et al.
Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. ed. / Paolo Mercorelli; Weicun Zhang; Hamidreza Nemati; YuMing Zhang. Academic Press Inc., 2024. p. 247-278.Research output: Contributions to collected editions/works › Chapter › peer-review
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TY - CHAP
T1 - Multibody simulations of distributed flight arrays for Industry 4.0 applications
AU - Yip, Lewis
AU - Nemati, Hamidreza
AU - Mercorelli, Paolo
AU - Zhu, Quanmin
N1 - Publisher Copyright: © 2024 Elsevier Inc. All rights reserved.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - 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.
AB - 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.
KW - Distributed flight array (DFA)
KW - Docking
KW - Micro-air vehicle (MAV)
KW - Multibody simulation
KW - Payload
KW - Perching
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85189581961&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/7c0f7b2f-4a37-3e29-82da-267591a6d4b6/
U2 - 10.1016/b978-0-32-395207-1.00023-8
DO - 10.1016/b978-0-32-395207-1.00023-8
M3 - Chapter
AN - SCOPUS:85189581961
SN - 9780323952088
SP - 247
EP - 278
BT - Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0
A2 - Mercorelli, Paolo
A2 - Zhang, Weicun
A2 - Nemati, Hamidreza
A2 - Zhang, YuMing
PB - Academic Press Inc.
ER -