Neural Network Parameter Adjustment for Control Rules in Flight Control System

DOI

10.2991/iccasm.2012.381How to use a DOI?

Keywords

Parameter adjustment, neural network, dual parameters, control rules, characteristic points

Abstract

To deal with the problem of parameter adjustment in flight control system, it is designed that parameter adjustment network based on the three-layer feedback neural network. With the self-train of network, the parameters of the network are gained, which realizes the dual parameters adjustment of the flight height h and Mach number Ma. Through simulation, control parameter optimization based on all characteristic points is ensured by the network. At the same time, the control parameters between all characteristic points is been grid, which makes flight control system stable even in the untrained characteristic points. Finally, each control parameter of flight and whole model of flight control system are computed out.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing Zhou
AU  - Jun Tao
PY  - 2012/08
DA  - 2012/08
TI  - Neural Network Parameter Adjustment for Control Rules in Flight Control System
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1489
EP  - 1492
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.381
DO  - 10.2991/iccasm.2012.381
ID  - Zhou2012/08
ER  -