Module 4.4
How can the separation of unmanned aircraft be monitored and maintained (among other unmanned aircraft and manned aircraft) in the National Airspace System (NAS)? What considerations need to be made for varying sizes (i.e., Group 1 to 5) and airframes of UAS (e.g., fixed-wing, rotary-wing, and lighter than air)? What technology is currently employed by manned aircraft and is it adaptable for use with unmanned?
How can the separation of unmanned aircraft be monitored and maintained (among other unmanned aircraft and manned aircraft) in the National Airspace System (NAS)? What considerations need to be made for varying sizes (i.e., Group 1 to 5) and airframes of UAS (e.g., fixed-wing, rotary-wing, and lighter than air)? What technology is currently employed by manned aircraft and is it adaptable for use with unmanned?
In general, upcoming regulations for UAS
should be constructed by taking into account the size, weight, and mission of
the UAS being used. The regulations
should not be overly burdensome on the nascent UAS commercial industry while
meeting the intent of safety regulations.
To some extent it makes sense for small UAS operated within line of
sight to be self-separated by the operators.
This means that each small UAS operator would be responsible for
overseeing the flight of the UAS and for avoiding obstacles as well as other
UAS and manned aircraft. Granted some
training would be required so that the operator can understand how far they
must operate from objects, UAS, other manned aircraft.
In the past, self-separation of aircraft
has been done by the pilot ensuring that they stay “well clear” of other
aircraft. When an automated system needs
to provide self-separation, and ambiguous term such as “well clear” is not
helpful. Weibel’s work shows a
probabilistic approach using a predefined risk threshold to define the boundary
of “well clear” numerically so it can be acted upon by an automated
system.
Well clear performance would be assessed through safety
assessment, as part of an overall target level of safety analysis for midair
collision. An unambiguous boundary provides a clear measure of when execution
of well clear separation has failed.
An analytical definition of well clear, such as the one
proposed above would be implemented in a UAS collision avoidance system as a
desired avoidance boundary. Avoidance actions would be designed to be executed
by automated systems or a human in the loop who would seek to maintain well
clear through horizontal or vertical maneuvers.
The horizontal contours of 5% collision risk suggest that a
well clear boundary based on this threshold would extend approximately 8,000 ft
ahead of an aircraft, 3,000 ft. laterally, and 3,000 ft behind.
By framing the threshold as a separation standard, boundaries
can be derived based on an acceptable threshold of risk that is incurred from
violating the threshold. This has the additional advantage of being comparable
to the expected decision-making of pilots in executing self-separation. In the
discussion below, a potential well clear boundary is proposed, and additional
considerations and future work are outlined (Weibel, 2011) .
Automated self-separation will occur most likely with a UAS
that is operated out of line of sight range of the operator. Video cameras may not be sufficient for the
operator to provide self-separation of the UAS.
In this case automated systems operated by cell tower signals may be
appropriate. The automated system would
need to actively “sense and avoid”.
ADS-B (Automatic Dependent Surveillance Broadcast) is one
way that UAS could provide their location to other UAS, manned aircraft, and
ATC. ADS-B is already being rolled out
and will be required by all manned aircraft by 2020. Smaller ADS-B systems are being developed
that could be carried on a UAS. By using
this technology UAS could broadcast their location, while seeing others’
location. Traffic Information System
technology could be used to alert the UAS operator to nearby aircraft.
References
Weibel, R. E. (2011). Establishing a Risk-Based
Separation Standard for Unmanned Aircraft Self Separation. Ninth USA/Europe
Air Traffic Management Research & Developement Seminar, (pp. 14-17).
Berlin. Retrieved from
http://www.atmseminar.org/seminarContent/seminar9/papers/64-Weibel-Final-Paper-4-12-11.pdf


