Flight envelope protection of aircraft using adaptive neural network and online linearisation |
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| Authors: | Hohyun Shin |
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| Affiliation: | School of Mechanical and Aerospace Engineering, The Institute of Advanced Aerospace Technology, Seoul National University, Seoul, Republic of Korea |
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| Abstract: | Flight envelope protection algorithm is proposed to improve the safety of an aircraft. Flight envelope protection systems find the control inputs to prevent an aircraft from exceeding structure/aerodynamic limits and maximum control surface deflections. The future values of state variables are predicted using the current states and control inputs based on linearised aircraft model. To apply the envelope protection algorithm for the wide envelope of the aircraft, online linearisation is adopted. Finally, the flight envelope protection system is designed using adaptive neural network and least-squares method. Numerical simulations are conducted to verify the performance of the proposed scheme. |
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| Keywords: | flight envelope protection adaptive neural network real-time linearisation method recursive least-squares method |
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