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Project Summary
The objective of this project is a feasibility study for the transfer
of the IPSIS
technology (Intelligent safe landing algorithm - link)
into Unmanned Aerial Vehicles (UAV's) for providing services for
governmental entities (e.g. civil protection, cartography) and other
civil markets. Here, we denote these vehicles ILUV (Intelligent
Landing of Unmanned Vehicles).
Uninova's (the inventor) IPSIS algorithm is based on a conceptual
mathematical model, which combines concepts from multi-criteria
decision making concepts with evolutionary optimization algorithms,
thus providing a novel, robust and efficient approach to the problematic
of safe-landing with hazard avoidance. IPSIS has been tried-and-tested
within the space domain in Astrium ST simulator (one direct contract
and one project financed by ESA) and also by Deimos Eng. on the
scope of the Lunar Lander phase B (LuLaB) project.
Spin.Works (the customer) already develops UAV's with embedded guidance,
navigation and control systems as well as, for ESA, GNC and Hazard
Detection and Avoidance (HDA) algorithms both for planetary missions
as well as other commercial applications. Increasing safety, security
and efficiency is one of the main drivers for the use of UAVs by
civil users. Hence, the use of IPSIS technology could definitely
bring added value to current UAV's by ensuring autonomous and safe
landing while reducing operational costs.
Research areas
- Fuzzy logic
- Image processing
- Multi-criteria decision making
Partners
Relevant Publications
T. C. Pais, R. A. Ribeiro, L. F. Simões. Uncertainty in
dynamically changing input data. In: Computational Intelligence
in Complex Decision Systems. DaRuan (Ed), Atlantis Computational
Intelligent Systems-Vol 2, Chapter 2, World Scientific (2010). ISBN:
9789078677277
Simoes, L., Bourdarias, C., and Ribeiro, R.A., Real-Time Planetary
Landing Site Selection -- A Non-Exhaustive Approach, Acta Futura,
5 (2012) pp.39-52, http://dx.doi.org/10.2420/AF05.2012.39
" Clement Bourdarias, Cunha, P. Da , Drai, R., Simões,
L. F., and Ribeiro, R. A. Optimized and flexible multi-criteria
decision making for hazard avoidance. In Proceedings of the 33rd
Annual AAS Rocky Mountain Guidance and Control Conference, Colorado,
USA. American Astronautical Society. (2010).
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