What is it about?

For turbojet engine control, a full static and dynamic analysis is necessary. The mathematical model should be obtained first to design a suitable controller. The mathematical model of a system can be driven analytically by applying the laws of nature that describe the subsystems. The mathematical model can also be identified based on experiments where certain inputs are applied and the corresponding outputs are analysed. In this paper, four dynamic turbojet engine models based on experimental data of micro turbojet engine (jetcat P200SX) are obtained. The first model is linear that is analytically simplified based on each subsystem inside the engine. The second and third models are nonlinear models using system identification technique. The fourth model is a nonlinear model obtained using neural network using MATLAB tool box. These models are validated by experimental data from the engine run. The obtained results confirm the effectiveness of the identified models for simulation and control. The current research finds out that among the presented models, Hammerstein wiener nonlinear model stand out as the best representative of the tested turbojet engine while consuming the minimum processing time.

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it discuses different modelling techniques

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This page is a summary of: Modeling of Micro Turbojet Engine, August 2019, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/6.2019-3911.
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