Flight envelope protection of aircraft using adaptive neural network and online linearisation. Issue 4 (11th March 2016)

• Record Type: Journal Article
• Authors: Shin, Hohyun; Kim, Youdan
• Is Part Of: International journal of systems science. Volume 47:Issue 4(2016)
• Page Start: 868
• Page End: 885
• Publication Date: 2016-03-11
• Subjects: flight envelope protection -- adaptive neural network -- real-time linearisation method -- recursive least-squares method; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2014.906769
• Languages: English
• ISSNs: 0020-7721

Abstract

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.