The Federal Aviation Administration (FAA) has been very
careful about setting the legislation for commercial use of unmanned aerial system
(UAS) for a long time, despite the fact that many other countries have already
established their regulations to allow UAS operations (GAO, 2015, p.29). The
main reason is that of all the safety issues concerning the operation of UAS,
the ability to safely maintain proper separation from other traffic in the
National Airspace System (NAS) is the most difficult to overcome (DOT, 2013). To
FAA, any unmanned aerial vehicle (UAV) has to be able to demonstrate a high
level of robustness in terms of its ability to “sense and avoid” other air
traffic. As required by Section 332(a) of the FAA Modernization and Reform Act,
US. Department of Transportation has released a UAS comprehensive plan to
ensure that all commercial airborne UAS are equipment with “Sense and avoid”
capabilities (FAA, 2013). “Sense and Avoid” is necessary to achieve autonomy
(Yu & Zhang, 2015) and can be achieved via two methods, airborne sensing
and ground sensing (Zeitlin, 2010). Airborne sensing will make use of sensors
on board the UAV to detect and avoid obstacles, whereas ground sensing makes
use of ground radar and other sensors to relay air traffic to the UAV for it to
maintain separation from other air traffic. However, airborne sensing requires
expensive on-board sensors which can be heavy and consume significant energy.
Ground sensing on the other hand, has to be present in the entire operating
area of the UAV, making it impractical for long distance flights.
According to Fasano et al. (2015), the two functions to have
separation assurance and to be able to make extreme manoeuvres are key to good “sense
and avoid”. Having airborne surveillance for separation assurance and collision
avoidance is the ultimate goal of a UAS system and can be achieved using
cooperative instruments such as transponders to broadcast and interrogate, and
non-cooperative sensors such as Traffic Collision and Avoidance System (TCAS),
which has an advantage in case of an air-to-air radio link loss. FAA (2016)
states that there are three types of UAS operations: public; civil; and model
aircraft. For civil use, special airworthiness certificate can be applied under
experimental category; type and airworthiness certificate under Restricted
category; and certificate of wavier or authorization under commercial category
(FAA, 2016).
Accelerating the use of UAS in commercial applications will
provide economic and social benefits. The future of UAS integration into NAS
depends upon the pace of FAA development of a comprehensive regulatory framework,
which has some urgent need to catch up with the fast developing UAS
technologies.
Reference
DOT (2013). Unmanned Aircraft System (UAS) Service Demand 2015-2035:
Literature Review & Projections of Future Usage. Retrieved from https://fas.org/irp/program/collect/service.pdf
Fasano, G., Accardo, D., Tirri, A. E., Moccia, A., & De
Lellis, E. (2015). Radar/electro-optical data fusion for non-cooperative UAS
sense and avoid. Aerospace Science and Technology, doi:10.1016/j.ast.2015.08.010
FAA (2013). UAS comprehensive plan: A report and the Nation’s
UAS path forward. Retrieved from http://www.faa.gov/about/office_org/headquarters_offices/agi/reports/media/UAS_Comprehensive_Plan.pdf
FAA (2016). Unmanned aircraft systems: Frequently asked
questions. Retrieved March 30, 2016 from https://www.faa.gov/uas/faq/#qn4
GAO (2015). Unmanned aerial systems: FAA continues progress
toward integration into the National airspace. Retrieved from https://fas.org/irp/program/collect/gao-15-610.pdf
Yu, X., & Zhang, Y. (2015). Sense and avoid technologies
with applications to unmanned aircraft systems: Review and prospects.
Progress in Aerospace Sciences, 74, 152-166.
doi:10.1016/j.paerosci.2015.01.001
Zeitlin, A. D. (2010). Sense & avoid capability
development challenges. IEEE Aerospace and Electronic Systems Magazine, 25(10),
27-32. doi:10.1109/MAES.2010.5631723