FADEC control system for MPM 20 engine

The article deals with full authority digital engine control (FADEC) systems and possibilities of application of concepts and methods of artificial intelligence in such control system. FADEC represents a framework where the most modern methods of artificial intelligence can be applied. This represents a great potential for increase of reliability, efficiency and overall quality of control of turbojet engines. We are trying to design and implement a FADEC control system for our small experimental turbojet engine MPM 20.

[1]  R. Andoga,et al.  Situational modeling and control of a small turbojet engine MPM 20 , 2006, 2006 IEEE International Conference on Computational Cybernetics.

[2]  Martin Fodslette Møller,et al.  A scaled conjugate gradient algorithm for fast supervised learning , 1993, Neural Networks.

[3]  Jozsef K. Tar,et al.  Novel adaptive control of partially modeled dynamic systems , 2006 .

[4]  Shlomo Zilberstein,et al.  Using Anytime Algorithms in Intelligent Systems , 1996, AI Mag..

[5]  A. Meystel,et al.  Intelligent Systems , 2001 .

[6]  L. Sterling Intelligent Systems , 1993, Springer US.

[7]  Xia Hong,et al.  Adaptive Modelling, Estimation and Fusion from Data , 2002, Advanced Information Processing.