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 -