نوع مقاله : گرایش دینامیک، ارتعاشات و کنترل
نویسندگان
1 دانشجوی دکتری، دانشکده مهندسی مکانیک،دانشگاه علم و صنعت ایران ، تهران، ایران
2 استاد، دانشکده مهندسی مکانیک، دانشگاه علم و صنعت، تهران، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
The growing integration of artificial intelligence (AI) across diverse engineering domains has recently extended to the field of jet engine control. Python, as a high-level programming language, offers efficient and flexible capabilities for the implementation of AI-based control algorithms. In this study, the hardware implementation of a jet engine fuel controller using Python is presented for the first time and evaluated through hardware-in-the-loop (HIL) simulation. To this end, a detailed and accurate turbojet engine model was developed utilizing the T-MATS toolbox within the MATLAB/Simulink environment. Subsequently, the min-max fuel control algorithm—recognized as an industrial standard—was implemented in Python on suitable embedded hardware and subjected to rigorous HIL testing. Comparison of the simulation results with experimental engine data confirms the high fidelity of the dynamic model. Furthermore, a comprehensive and systematic comparative analysis between the HIL results and software-based simulations validates the proper design and robust implementation of the fuel control algorithm.
کلیدواژهها [English]
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