- author = "Giovanna {Martinez Arellano} and Richard Cant and Lars Nolle",
- booktitle = "16th AMSS International Conference on Computer Modelling and Simulation (UKSim 2014)",
- title = "Prediction of Jet Engine Parameters for Control Design Using Genetic Programming",
- year = "2014",
- month = "26-28 " # mar,
- pages = "45--50",
- address = "Cambridge",
- keywords = "genetic algorithms, genetic programming, jet engine, simulation",
-
DOI = "
doi:10.1109/UKSim.2014.64",
- size = "6 pages",
- abstract = "The simulation of a jet engine behaviour 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.",
-
notes = "Control of model aircraft jet engines. Constructing a
model sufficient for control design. Fitness from
difference between GP output and real measurement per
training point plus tree size penalty. tournament size
20. Three models of different aspects of engine. Cited
by \cite{EnriquezZarate:2017:ASC}.
Also known as \cite{7046037}",
