LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Martínez-Arellano, G; Cant, R; Nolle, L (2014)
Publisher: IEEE
Languages: English
Types: Unknown
Subjects:
The simulation of a jet engine behavior is widely used in many different aspects of the engine development and maintenance. Achieving high quality jet engine control systems requires the iterative use of these simulations to virtually test the performance of the engine avoiding any possible damage on the real engine. Jet engine simulations involve the use of mathematical models which are complex and may not always be available. This paper introduces an approach based on Genetic Programming (GP) to model different parameters of a small engine for control design such as the Exhaust Gas Temperature (EGT). The GP approach has no knowledge of the characteristics of the engine. Instead, the model is found by the evolution of models based on past measurements of parameters such as the pump voltage. Once the model is obtained, it is used to predict the behaviour of the jet engine one step ahead. The proposed approach is successfully applied for the simulation of a Behotec j66 jet engine and the results are presented.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] M. Bazazzadeh, H. Badihi, and A. Shahriari, Gas Turbine Engine Control Design Using Fuzzy Logic and Neural Networks, International Journal of Aerospace Engineering, Vol. 2011.
    • [2] M. Lichtsinder and Y. Levy, Jet Engine Model for Control and Real-time Simulations, Journal of Engineering for Gas Turbines and Power, Vol. 28, pp. 745-753, October, 2006.
    • [3] G. Koc¸er and O. Uzol, Real-TIme Simulation of a Small Turbojet Engine, 4. Ankara International Aerospace Conference, Ankara, 2007.
    • [4] R. Andoga, L. Madarasz and L. Fozo, Digital Electronicl Control of a Small Turbojet Engine - MPM 20 12. International Conference on Intelligent Engineering Systems, Miami, Florida, pp. 37-40, 2008.
    • [5] H. Gold and S. Rosenzweig, A Method for Estimating Speed Response of Gas Turbine Engines, NACA RM E51 K21, 1952.
    • [6] J.O.N. Lawrence and R.D. Powell, The Application of ServoMechanism Analysis to Fuel Control Problems, Proc. I. Mech. E., Vol. 172, pp. 439-469, 1958.
    • [7] V.L. Larrowe, M.M. Spencer and M. Tribus, A Dynamic Performance Computer for Gas Turbine Engines, Transactions of the ASME, Oct. 1957, pp. 1707-1714.
    • [8] S. M. Camporeale, B. Fortunato and M. Mastrovito, A modular code for Real TIme Dynamic Simulation of Gas Turbines in Simulink, Journal or Engineering for Gas Turbines and Power, Vol. 128, pp. 506-517, July 2006.
    • [9] Y. Yu, L. Chen, F. Sun and C. Wu, Matlab/Simulink-Based Simulation for Digial Control System of Marien Three-Shaft Gas Turbine, Applied Energy, Vol. 80, pp. 1-10. 2005.
    • [10] J. S. Litt, D. L. Simon, S. Carg, et. al. A Survey on Intelligent Control and Health Management Technologies for Aircarft Propulsion Systems, NASA, Glenn Research Center, Cleveland, Ohio, USA, 2005.
    • [11] F. Greitzer, et. al. Gas Turbine Engine Health Monitoring and Prognostics, SOLE '99 Symposium, Las Vegas, NV, September 1999.
    • [12] S. S. Tayarani-Bathaie, Z. N. Sadough Vanini and K. Khorasani, Fault Detection of Gas Turbine Engines Using Dynamic Neural Networks, 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Canada, 2012.
    • [13] H. Nayyeri and K. Khorasani, Modeling Aircraft Jet Engine and System Identification by Using Genetic Programming, 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Canada, 2012.
    • [14] K. Schreckling, Gas Turbine Engines for Model Aircraft, Traplet Publications, ISBN 0951058916, 1994.
    • [15] Koza, J.R., Genetic Programming: on the programming of computers by means of natural selection, MIT Press, 1992.
    • [16] Poli, R. and Langdon, B. and McPhee, N. F., A field guide to genetic programming with contributions by J. R. Koza, Published via http://lulu.com and freely available at http://www.gp-field-guide.org.uk, 2008.
    • [17] Kotanchek, M. E. and Vladislavleva, E. Y. and Smits, G. F., Genetic Programming Theory and Practice VII, Springer US, 2010.
    • [18] Martinez-Arellano, Giovanna, Nolle, Lars and Bland, John. Improving WRF-ARW Wind Speed Predictions using Genetic Programming. SGAI Conf. 2012: 347-360.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article