Grant: Department of National Defence / NSERC Research Partnership
University of Victoria
$200,000.00
UAV-based magnetic anomaly detection system for remote sensing: design, build, test and fly (UAV-MAD)
FY 2019-20
Summary
Unmanned Aerial Vehicles (UAVs) have proven to be an integral instrument in a suite of defence and security capabilities for persistent intelligence, surveillance and reconnaissance, and civilian and industrial sector remote sensing applications including mining exploration and pipeline monitoring. Defence Research and Development Canada (DRDC) has determined that there is a need for research and development in the area of tactical UAVs to explore and exploit emerging capabilities in submerged vessel detection to ensure maritime domain awareness. On one hand, submarine designers have been researching methods and techniques to reduce detectable signatures such as acoustic emissions, and radar, infrared and visual signatures. For example, the very quiet modern diesel-electric submarines and operations in the shallow waters present acoustical detection challenges. On the other hand, new developments in Magnetic Anomaly Detection (MAD) sensors have been proposed as a potential and promising technology to complement the capabilities of acoustic sensors.Therefore, the development of a Canadian UAV based defence and security instrument of a MAD-equipped UAV for maritime domain awareness is proposed, and with potential applications to the civilian remote sensing sector. The proposed technology includes the design and development of performance optimized UAVs with long endurance and large area coverage capabilities, the design and development of a UAV-based MAD sensor , and the development and testing of network control algorithms for multi-UAV missions
Program
Department of National Defence / NSERC Research Partnership
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
503210-2016
Name nom
Suleman, Afzal
Department département
Mechanical Engineering
Organization id
7
Institution établissement
University of Victoria
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2016
Award amount
200000
Program id
DNDPJ
Program name en
Department of National Defence / NSERC Research Partnership
Program name fr
Partenariat de recherche du ministère de la Défense nationale et du CRSNG
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2108
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Aerospace, aeronautical and automotive engineering
Research subject fr
Génie aérospatial, aéronautique et automobile
Installment
inst:3 - 3
Partie
3
Nb partie
3
Application title
UAV-based magnetic anomaly detection system for remote sensing: design, build, test and fly (UAV-MAD)
Keyword
NSERC
Application summary
Unmanned Aerial Vehicles (UAVs) have proven to be an integral instrument in a suite of defence and security capabilities for persistent intelligence, surveillance and reconnaissance, and civilian and industrial sector remote sensing applications including mining exploration and pipeline monitoring. Defence Research and Development Canada (DRDC) has determined that there is a need for research and development in the area of tactical UAVs to explore and exploit emerging capabilities in submerged vessel detection to ensure maritime domain awareness. On one hand, submarine designers have been researching methods and techniques to reduce detectable signatures such as acoustic emissions, and radar, infrared and visual signatures. For example, the very quiet modern diesel-electric submarines and operations in the shallow waters present acoustical detection challenges. On the other hand, new developments in Magnetic Anomaly Detection (MAD) sensors have been proposed as a potential and promising technology to complement the capabilities of acoustic sensors.Therefore, the development of a Canadian UAV based defence and security instrument of a MAD-equipped UAV for maritime domain awareness is proposed, and with potential applications to the civilian remote sensing sector. The proposed technology includes the design and development of performance optimized UAVs with long endurance and large area coverage capabilities, the design and development of a UAV-based MAD sensor , and the development and testing of network control algorithms for multi-UAV missions