Antonio Vitale
On-boar Systems and ATM Department, CIRA - Italian Aerospace Research Centre, Capua (CE), Italy
Davide Bianco
On-boar Systems and ATM Department, CIRA - Italian Aerospace Research Centre, Capua (CE), Italy
Gianluca Corraro
On-boar Systems and ATM Department, CIRA - Italian Aerospace Research Centre, Capua (CE), Italy
Angelo Martone
On-boar Systems and ATM Department, CIRA - Italian Aerospace Research Centre, Capua (CE), Italy
Federico Corraro
On-boar Systems and ATM Department, CIRA - Italian Aerospace Research Centre, Capua (CE), Italy
Alfredo Giuliano
Electrical and Avionics Systems Department, Finmeccanica - Helicopter Division, Cascina Costa (VA), Italy
Adriano Arcadipane
Electrical and Avionics Systems Department, Finmeccanica - Helicopter Division, Cascina Costa (VA), Italy
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http://dx.doi.org/10.3384/ecp17142228Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:33, p. 228-234
Published: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (print), 1650-3740 (online)
Helicopter take-off and landing operations on ship carrier are very hazardous and training intensive. Guidance, Navigation and Control algorithms can help pilots to face these tasks by significantly reducing the workload and improving safety level. Anyway, the design and verification of such algorithms require the availability of suitable simulation environments that shall be a trade-off between simplicity and accuracy. This paper presents the simulation models developed to support the design, pre-flight verification and validation of helicopter trajectory generation and tracking algorithms for automated take-off and landing on a frigate deck. The process for generation and testing of the code to be integrated into the real-time Software-In-the-Loop simulator is also described. Such fast time and real-time simulation environments contributed to reduce algorithms design time, risks and costs, by limiting the required flight test activities. Take-off and landing algorithms developed by using the proposed simulation environments were successfully demonstrated in flight.
