Real-Time Hardware-in-the-Loop Laboratory Testing for Multisensor Sense and Avoid Systems
Author(s) -
Giancarmine Fasano,
Domenico Accardo,
Lidia Forlenza,
Alfredo Renga,
Giancarlo Rufino,
Urbano Tancredi,
Antonio Moccia
Publication year - 2013
Publication title -
international journal of aerospace engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.361
H-Index - 22
eISSN - 1687-5974
pISSN - 1687-5966
DOI - 10.1155/2013/748751
Subject(s) - modular design , flight test , radar , collision avoidance , real time computing , software , collision avoidance system , hardware in the loop simulation , reliability (semiconductor) , sensor fusion , computer science , embedded system , engineering , simulation , collision , systems engineering , aerospace engineering , artificial intelligence , operating system , power (physics) , physics , computer security , quantum mechanics
This paper focuses on a hardware-in-the-loop facility aimed at real-time testing of architectures and algorithms of multisensor sense and avoid systems. It was developed within a research project aimed at flight demonstration of autonomous non-cooperative collision avoidance for Unmanned Aircraft Systems. In this framework, an optionally piloted Very Light Aircraft was used as experimental platform. The flight system is based on multiple-sensor data integration and it includes a Ka-band radar, four electro-optical sensors, and two dedicated processing units. The laboratory test system was developed with the primary aim of prototype validation before multi-sensor tracking and collision avoidance flight tests. System concept, hardware/software components, and operating modes are described in the paper. The facility has been built with a modular approach including both flight hardware and simulated systems and can work on the basis of experimentally tested or synthetically generated scenarios. Indeed, hybrid operating modes are also foreseen which enable performance assessment also in the case of alternative sensing architectures and flight scenarios that are hardly reproducible during flight tests. Real-time multisensor tracking results based on flight data are reported, which demonstrate reliability of the laboratory simulation while also showing the effectiveness of radar/electro-optical fusion in a non-cooperative collision avoidance architecture
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom