Abstract
When we speak of a “simulation”, it implies replication of a process on a computer using mathematical models. Here, the term ‘Process’ implies everything that can be analyzed nowadays in simulations, for example production procedures in factories, worldwide financial transactions, transport by rail and road, and many more. All simulations are based on a mathematical model of the process being investigated. Simulation allows a detailed study of the object before it is realized. The parameters of the mathematical model can be varied to examine various aspects of the process. Model parameters can also be so adjusted that the simulation yields replication of the reality as accurately as possible. The simulation is also a mechanism by which future developments can be predicted or evaluated. Simulation plays a key role in successfully preparing and carrying out a flight test program. The more precisely the mathematical model maps the reality, the more realistic is the simulation and the more meaningful are the results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Breuhaus, W.O., Harper, R.P.: The selection of tasks and subjects of flight simulation experiments. AGARD-CP-79, 1970, Paper 7
Hamel, P.G.: Advances in aerodynamic modeling for flight simulation and control design, pp. 7–50. GAMM-Mitteilungen, Band 23, Heft 1/2 (2000)
Hamel, P., Jategaonkar, R.: Evolution of flight vehicle system identification. AIAA J. Aircraft. 33(1), 9–28 (1996)
Jategaonkar, R.V.: Flight vehicle system identification—a time domain methodology, 2nd edn. Progress in astronautics and aeronautics, vol. 245. AIAA (2015)
Greenyer, F.: A history of simulation—early days. Military simulation and training magazine (MS&T) 5 (2008)
Hornburg, H.M., Malone, M.D., Anderson, G.K.: A new approach to flight simulation. http://www.nastarcenter.com/a-new-approach-to-flight-simulation
Kidd, E.A., Bull, G., Harper, R.P.: In-flight simulation—theory and application. AGARD Report 368, April 1961
Mönnich, W.: Feedforward controllers for model following, in German. DLR-IB 111-1999/20, Status 2002
Abzug, M.C., Larrabee, E.E.: Airplane stability and control—a history of the technologies that made aviation possible. Cambridge aerospace series 14, pp. 35–40. Cambridge University Press, Cambridge (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Krag, B. (2017). Modeling and Simulation—Basics and Benefits. In: Hamel, P. (eds) In-Flight Simulators and Fly-by-Wire/Light Demonstrators. Springer, Cham. https://doi.org/10.1007/978-3-319-53997-3_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-53997-3_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-53996-6
Online ISBN: 978-3-319-53997-3
eBook Packages: EngineeringEngineering (R0)