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Control Method of Dynamic Inversion with Neural Network Used for Multi-Variable Nonlinear Flight Control System

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2 Author(s)
Kechang Qian ; Ordance Eng. Coll., Shijiazhuang, China ; Jian Li

Aiming at multi-variable nonlinear flight control system, this paper analyzes the analytical inverse system in theory detailedly. By the tracking principle of neural network, a dynamic neural network is presented, which consist of static neural network and integrators. The paper designs a control method of dynamic inversion with neural network used for multi-variable nonlinear flight control system, and makes simulation of flight control system of power parafoil. Simulation results demonstrate that the control method has strong ability of control and robustness.

Published in:
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on

Date of Conference: 22-23 May 2010

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