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Article
Applications of Generalised Neural Network for Aircraft Landing Control System
Int. J. on Soft Computing - A Fusion of Foundations, Methodologies and Applications (2004)
  • D. K. Chaturvedi, Dayalbagh Educational Institute
  • R. Chauhan, Dayalbagh Educational Institute
  • P. K. Kalra
Abstract
It is observed that landing performance is the most typical phase of an aircraft perfromance. During landing operation the stability and controllability are the major considerations. To achieve safe landing, an aircraft has to be controlled in such a way that its wheels touch the ground comfortably and gently within the paved surface of the runway. The conventional control theory found very successful in solving well defined problems, which are described precisely with definite and clearly mentioned boundaries. In real life systems the boundaries can't be defined clearly and conventional controller does not give satisfactory results. Whenever, an aircraft deviates from its glide path (gliding angle) during landing operation, it will affect the landing field, landing area as well as touch down point on the runway. To control correct gliding angle (gliding path) of an aircraft while landing, various traditional controllers like PID controller or state space controller as well as maeuvering of pilots are used, but due to the presence of non-linearities of actuators and pilots these controllers do not give satisfactory results. Since ANN can be used as an intelligent control technique and are able to control the correct gliding angle i.e. correct gliding path of an aircraft while landing through learning which can easily accomodate the afroesaid non-linearities. The existing ANNhas vaious drawbacks such as large training time, large number of neurons and hidden layers required to deal with complex problems. To overcome these drawbacks and develop a non-linear controller for aircraft landing system a generalized neural network has been developed.
Keywords
  • Generalized neural network,
  • Aircraft,
  • landing control system,
  • backprop
Publication Date
September, 2004
Citation Information
D. K. Chaturvedi, R. Chauhan and P. K. Kalra. "Applications of Generalised Neural Network for Aircraft Landing Control System" Int. J. on Soft Computing - A Fusion of Foundations, Methodologies and Applications Vol. 6 Iss. 6 (2004)
Available at: http://works.bepress.com/dk_chaturvedi/9/