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Intelligent anti-skid brake controller using a neural network

DSpace at IIT Bombay

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Field Value
 
Title Intelligent anti-skid brake controller using a neural network
 
Creator SOMAKUMAR, R
CHANDRASEKHAR, J
 
Subject intelligent control
neural networks
aircraft
nonlinear systems
backpropagation
pattern recognition
anti-skid brakes
 
Description The performance of current anti-skid brake controllers on aircraft becomes degraded due to the uncertain nature of the runway conditions. This paper presents the design of an intelligent anti-skid neural controller to overcome this problem. Their learning ability, nonlinear mapping ability and pattern-recognition capability are the features of neural networks that are ideally suited to the design of intelligent controllers. The controller described here identifies the runway condition from the aircraft-wheel responses, and modulates the brake torque for optimum braking. The proposed controller exhibits robustness under variations in brake characteristics and runway conditions. Simulation results confirm the satisfactory performance of the controller in adapting to changes in runway conditions. (C) 1999 . .
 
Publisher PERGAMON-ELSEVIER SCIENCE LTD
 
Date 2011-08-25T08:50:14Z
2011-12-26T12:57:00Z
2011-12-27T05:46:40Z
2011-08-25T08:50:14Z
2011-12-26T12:57:00Z
2011-12-27T05:46:40Z
1999
 
Type Article
 
Identifier CONTROL ENGINEERING PRACTICE, 7(5), 611-621
0967-0661
http://dx.doi.org/10.1016/S0967-0661(99)00017-9
http://dspace.library.iitb.ac.in/xmlui/handle/10054/10960
http://hdl.handle.net/10054/10960
 
Language en