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Hybrid Intelligent Aircraft Landing Controller and Its Hardware Implementation

  • Jih-Gau Juang
  • Bo-Shian Lin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)

Abstract

The purpose of this paper is to investigate the use of hybrid intelligent control to aircraft automatic landing system. Current flight control law is adopted in the intelligent controller design. Tracking performance and adaptive capability are demonstrated through software simulations. Two control schemes that use neural network controller and neural controller with particle swarm optimization are used to improve the performance of conventional automatic landing system. Control gains are selected by particle swarm optimization. Hardware implementation of this intelligent controller is performed by DSP with VisSim platform. The proposed intelligent controllers can successfully expand the controllable environment in severe wind disturbances.

Keywords

Particle Swarm Optimization Pitch Angle Hardware Implementation Particle Swarm Optimization Method Neural Controller 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jih-Gau Juang
    • 1
  • Bo-Shian Lin
    • 1
  1. 1.Department of Communications and Guidance EngineeringNational Taiwan Ocean UniversityKeelungTaiwan, China

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