Prediction of jet engine parameters for control design using genetic programming

Martínez-Arellano, G. ORCID: 0000-0003-3105-4151, Cant, R. ORCID: 0000-0001-9610-7205 and Nolle, L., 2014. Prediction of jet engine parameters for control design using genetic programming. In: 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, Cambridge, 26-28 March 2014.


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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.

Item Type: Conference contribution
Creators: Martínez-Arellano, G., Cant, R. and Nolle, L.
Publisher: IEEE
Date: 2014
Divisions: Schools > School of Science and Technology
Record created by: EPrints Services
Date Added: 09 Oct 2015 10:13
Last Modified: 09 Jun 2017 13:22

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