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Content Provider | IEEE Xplore Digital Library |
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Author | Kechang Qian Zili Chen |
Copyright Year | 2010 |
Description | Author affiliation: Ordance Engineering College, Shijiazhuang, China (Kechang Qian; Zili Chen) |
Abstract | Modern flight control system is always a complicated nonlinear flight control system, this paper presents a control method of dynamic inversion based on neural network applied to nonlinear flight control system. Through analyzes the decoupling inversion and tracking principle of neural network, a dynamic neural network is presented, which consist of static neural network and integrators. Based on the dynamic neural network, a control method of dynamic inversion used for multi-variable nonlinear flight control system is designed, and simulation of flight control system of power parafoil is made. Simulation results demonstrate that the control method has strong ability of control and robustness. |
File Size | 265337 |
File Format | |
ISBN | 9781424458219 |
e-ISBN | 9781424458240 |
DOI | 10.1109/ICFCC.2010.5497341 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-05-21 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | flight control system Nonlinear control systems Control systems Educational institutions Nonlinear dynamical systems Electronic mail neural network Aerospace control Aerospace engineering Neural networks dynamic inversion nonlinear system control Nonlinear systems Arithmetic |
Content Type | Text |
Resource Type | Article |
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