The project TDAAS included research and development of the new anti-collision system Detect and Avoid, providing mid-air collisions protection in the manned aviation and also in the area of the unmanned aerial systems. The project goal was to survey and develop the algorithms, architecture and demonstrator of the anti-collision system, which would bring new knowledge essential for the safety in the small aviation improvement and enabling integration of the UAS into civil non-segregated airspace.
- The sense and avoid system demonstrator - functional demonstrator consists of a block of Ballard formed by ruggedised computer, based on the type of PowerPC processor, and software. The demonstrator contains anti-collision algorithms developed within the TDAAS project and has been used for flight validation of these algorithms.
- The flying demonstration platform - flying platform (airplane Manta) was modified to enable its use for validation purposes of anti-collision algorithms. The aircraft has redesigned main and tail wings, necessary power supplies were installed and other adjustments were made to enable the integration of the SAA demonstrator system into platform. The platform is ready for flight testing.
- The sense and avoid simulation environment (software) - the simulation environment was used to verify the anti-collision algorithms during their development before deploying them into a functional demonstrator.
- Tracking algorithms (software) - the algorithms for detection and tracking have been developed as results of this section of work. The Sense and Avoid (SAA) requires the Unmanned Aircraft System (UAS) to detect and track an intruder aircraft in the operating vicinity of the ownership UAS to identify guidance manoeuvres required to perform self-separation and collision avoidance. The detect and track functions are key enablers for UAS SAA capability because the UAS cannot perform self-separation or collision avoidance manoeuvres for an undetected, untracked intruder aircraft. The developed algorithm is capable of:
- - detecting intruders in real-time by cooperative or non-cooperative sensors - tracking multiple intruders within a desired range and field of view
- - fusing the data coming from different sensors to obtain the best estimates about the intruder
- - provide position, velocity, acceleration, range, range rate, range acceleration data of multiple intruders for the guidance algorithms.
- The V52 model propeller - a model propeller useful for wind - tunnel measurement of aerodynamic properties of a model of unmanned aerial vehicle. The propeller has an adjustable blade pitch and produces scale flow of air around the model airframe.