Geonumerics, a Spanish/Catalan geospatial firm, is directing an intensive flight marketing campaign venture, RPAS EGNOS Adoption and Liaison with navigation integrITY (REALITY), to generate a considerable amount of drone-flight navigation knowledge to check of flight-error properties: generally phrases, how a lot a drone is ready to keep on observe.
REALITY will consider learning the Navigation System Error (NSE) — the accuracy of the navigation resolution — and Flight Technical Error (FTE), the deviation from the specified course. These two components are the primary contributors to the Required Navigation Performance (RNP) metric. REALITY goals to provide a brand new sense to the RNP figures, which have been historically used just for manned aviation, and adapt them for the drone group wants.
A key on this scheme is to generate “statistically significant” knowledge; that’s, as many samples of information as doable as a way to decouple the various variables that play a job in RNP efficiency stage, corresponding to: kind of drone, kind of flight, autopilot settings, climate circumstances (significantly, wind), and so forth. REALITY will gather greater than 100 flight knowledge units as a foundation for this evaluation.
The associate accountable for the intensive flights, CATUAV, has built-in the REALITY Navigation Unit (RNU), developed by Pildo Labs, that comes with all the mandatory navigation gear as a way to carry out the RNP evaluation. After each batch of information assortment, GeoNumerics is accountable for producing the RNP evaluation. Aiming to symbolize the 2 most consultant drone varieties, each a rotary-wing and a fixed-wing platform have been chosen for the combination of the RNU.
REALITY will map non-recreational drone application-specific necessities into navigation efficiency and security necessities –i.e., into accuracy, availability, continuity & integrity– and analyze to what extent drone navigation techniques primarily based on the European Geostationary Navigation Overlay Service (EGNOS, the European GNSS SBAS) meet them.
REALITY is motivated by the pressing want to reply, from an EGNSS perspective, to the problem of safely integrating lots of of hundreds of non-recreational drones in EU airspace, flying at Very Low Level (VLL) altitude –500 ft above ground-, and at similar time, by the problem of absolutely leveraging present EGNOS (particularly, its integrity service) for the precise RPAS wants. As seen in preliminary research, civil aviation requirements e.g. APV-I are clearly too conservative, non-protective for RPAS VLL operations, but EGNOS has potential to be absolutely unleashed by adapting its integrity efficiency.
To seize a large spectrum of fairly consultant application-specific necessities, REALITY works upon 4 kinds of market- or social-relevant drone purposes as venture situations: (SC1) maritime surveillance, (SC2) help to fireplace combating missions, (SC3) freight transport and (SC4) [urban] aerial mapping. Application-specific necessities will likely be analyzed and flight rehearsals carried out in REALITY as a benchmark for EGNOS. An output of REALITY will likely be proposals for subsequent era Required Navigation Performance (RNP) specs for RPAS missions tailor-made to those 4 consultant purposes.
On the upstream, RNP specs for drone operations are related contributions to the evolution of EGNOS and of European and worldwide GNSS prepared to help RPAS markets, and on the downstream, they’re additionally important for the design of protected and cost-effective drone navigation techniques. Another output of REALITY would be the evaluation of the contribution of EGNOS and EGNSS to a brand new era of RNP-compliant drone navigation techniques. (sometimes together with GNSS receivers, inertial items and presumably different sensors like magnetometers or barometric altimeters.) Such an holistic evaluation is invaluable for the EU and for aviation regulatory our bodies since such a reasoned account of contributions will again a brand new RNP specification, extra stringent than RNP 0.3 and extra applicable for using EGNOS and EGNSS in drones, significantly at VLL.