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Modeling Of The Aircraft Brake System Coefficient Of The Ground

Posted on:2006-12-11Degree:MasterType:Thesis
Country:ChinaCandidate:D L XuFull Text:PDF
GTID:2192360152482466Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
Along with science technical progress and developments, aircraft is just towards the more safe, high dependable, high technique direction development . and the antiskid brake system is an important machine of airplane to carry the equipments, as to it's design the request is also more and more high.It is simulated in the MATLAB/SIMULINK. the ground adhesion coefficient-slip relation is analysed and researched by two methods. Firstly, aiming at Pacejka model ,the range of the parameter B,C,D and effects on the Pacejka curves shapes is discussed . Secondly, non-linearity characteristic of ground adhesion coefficient-slip is resolved by BP neural network, the datum measured on the test-bed are drew up, and relation of coefficient-slip is sought finely.Secondly, aim at each dynamic characteristic for the runway and tire, wheel and constitute of airplanes, this paper sets up the ground adhesion coefficient-slip model, airplane dynamics model, the landing gears model, the brake equipment and the tire model etc.Moreover, this paper simulates by BPM control method, gives and analyses results of the dry ,the wet, the snow runway, The result shows that the model established is basically rational and correct, the dynamic characteristic is reflected. the braking performance are improved greatly, and the theory foundation is provided for the brake efficient.with the help of function of Matlab GUI, the paper develops the simulating software package of the airplane antiskid brake system , makes use of the sketch interface to select model, modifies control a box of parameter and carry on simulation. It provides good simulation foundation for more research and design the control law of the aircraft brake system .
Keywords/Search Tags:anti-skid brake system, ground adhesion coefficient, slip, BP neural network
PDF Full Text Request
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