A Dual Fuzzy Neuro Controller Using Genetic Algorithm in Civil Aviation Intelligent Landing System

Kai Jun Xu; Guang Ming Zhang; Yang Xu

doi:10.4028/www.scientific.net/AMM.128-129.11

Paper Titles

Preface and Conferenze Organizers

A Balance Ability Evaluation Method Based on Multidimension Passive Motion Excitement from 6-PSS Robot
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A BP Decoding Algorithm Based on Nodes Residual for LDPC Codes and its Hardware Implementation
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A Dual Fuzzy Neuro Controller Using Genetic Algorithm in Civil Aviation Intelligent Landing System
p.11

A Photovoltaic MPPT Strategy by Modified Fuzzy Control
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A Recognition Algorithm for M-QAM Based on Amplitude Distribution
p.20

A Rotor Flux Observer Based on Nonlinear Quadrature Double Compensation
p.25

A Self-Calibration Algorithm for Concentric-UCA in the Presence of Mutual Coupling
p.30

ADAMS-Based Double Wishbone Suspension Motion Simulation and Optimization
p.34

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 128-129A Dual Fuzzy Neuro Controller Using Genetic...

A Dual Fuzzy Neuro Controller Using Genetic Algorithm in Civil Aviation Intelligent Landing System

Abstract:

A kind of dual fuzzy neuro control algorithm (DFNC) for civil aviation aircraft intellegent landing system is developed in this paper. The DFNC algorithm uses Genetic Algorithm (GA) as the optimization technique and chooses best control performance of approaching and landing to be the optimization object. Real-time recurrent learning (RTRL) is applied to train the RNN that uses gradient-descent of the error function with respect to the weights to perform the weights updates. Convergence analysis of system error is provided. The control scheme utilizes five crossover methods of GAs to search optimal control parameters. Simulations show that the proposed intelligent controller has better performance than the conventional controller

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Periodical:

Applied Mechanics and Materials (Volumes 128-129)

Pages:

11-14

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.128-129.11

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Online since:

October 2011

Authors:

Kai Jun Xu, Guang Ming Zhang, Yang Xu

Keywords:

Civil Aviation, Dual Fuzzy Neuro Controller, Genetic Algorithm (GA), Intelligent Landing System

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