Multi-rotor Platform Based UAV Systems

Erscheinungsjahr 2020
ISBN: 978-1-78548-251-9
Verlag: ISTE Press Ltd - Elsevier Inc

Buch, Englisch, 270 Seiten, Format (B × H): 239 mm x 246 mm, Gewicht: 570 g

Multi-rotor Platform Based UAV Systems provides an excellent opportunity for experiential learning, capability augmentation and confidence-building for senior level undergraduates, entry-level graduates, engineers working in government agencies, and industry involved in UAV R&D. Topics in this book include an introduction to VTOL multi-copter UAV platforms, UAV system architecture, integration in the national airspace, including UAV classification and associated missions, regulation and safety, certification and air traffic management, integrated mission planning, including autonomous fault tolerant path planning and vision based auto landing systems, flight mechanics and stability, dynamic modeling and flight controller development.

Other topics covered include sense, detect and avoid systems, flight testing, including safety assessment instrumentation and data acquisition telemetry, synchronization data fusion, the geo-location of identified targets, and much more.

Zielgruppe

For senior level undergraduates, entry-level graduates as well as engineers working in government agencies and industry involved in UAV R&D
Engineers and managers working in industries/agencies interested in applying UAVs to their operations.

Autoren/Hrsg.

Cazaurang, Franck

Kumar, Manish

Fachgebiete

• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Intelligente & automatisierte Transportsysteme

Inhaltsverzeichnis

1. Introduction to UAVs and VTOL Multi-Copter UAV Platforms 2. Integration in the National airspace (Europe and USA) - UAV Classification and Associated Missions, Regulation and Safety, Certification and Air Traffic Management 3. UAV Classification and Mission Planning 4. UAV System Architecture 5. Flight Safety Assessment and Approaches 6. Energy power and thrust management including electrical power, Battery cells, propellers, and electrical motors 7. Diagnostics and fault tolerant path planning 8. Dynamics Modeling, Flight Controller Optimization and Testing of Multi-Rotor UAVs 9. Autonomous Navigation and Target Geolocation in GPS Denied Environment 10. Real-time Video and FLIR Image Processing for Enhanced Situational Awareness 11. Design, Fabrication, Assembly, and Flight Test of Multi-rotor UAVs using a 3D printer 12. Genetic Fuzzy Single and Collaborative Tasking for UAV Operations 13. UAV Navigation in National Air Space

Über Autor(innen)

Cazaurang, Franck
Dr. Franck Cazaurang graduated from the Ecole Normale Supérieure de Cachan in 1991 and received a Master degree in Automatic Control and Systems from University of Bordeaux 1 in 1992. From October 1992 to November 1997 he was lecturer in Bordeaux 1 and also a Ph.D. student at Bordeaux 1 University, France. He received the Ph.D. degree in December 1997, and the accreditation to supervise research (HdR) in November 2009. Since October 2010, he is full professor of Automatic control at University Bordeaux 1, Bordeaux, France. His main research interest concerns automatic control, autonomous path planning and path tracking based on robust dynamic inversion and their application to aerospace systems. He has 17 refereed journal papers, 1 chapter in peer reviewed professional book, 35 archival proceedings in professional conferences and 2 patents in the aeronautical domain. Dr. Cazaurang has graduated 7 PhD students and 12 MS students.
Since 2003, he is the director of the Master of Engineering program dedicated to engineering and maintenance of Aeronautical and transport systems. This university curriculum is proposed for a five-year study period, which includes an undergraduate and graduate degree program. Each year, around 350 students are enrolled in this university educational program. In 2011, he set up a new e-learning continuing education program dedicated to customer support in aeronautical engineering and maintenance. His teaching activity is focused on automatic flight control for aircraft and UAV and the associated maintenance. These courses are offered to graduate students.

Kumar, Manish
Manish Kumar holds a PhD in Mechanical Engineering which he earned in 2004 from Duke University where he did his dissertation on Sensor Fusion and Intelligent Control of Autonomous Cooperating Robots. His Master of Science in Mechanical Engineering is also from Duke University where he graduated in 2002 after completing his thesis on Sensor Based Coordination and Control of Multiple Robots. Kumar's Bachelor of Science is from the Indian Institute of Technology, Kharagpur, India, where he graduated in 1998 with a degree in Mechanical Engineering.