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Aircraft Brake System Control And Simulation Technology In The Non-symmetrical Load

Posted on:2007-03-29Degree:MasterType:Thesis
Country:ChinaCandidate:W JiangFull Text:PDF
GTID:2192360182478787Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
The structure and principle of aircraft braking system are analysed and the control strategy and simulation platform are reviewed. Considering the constraint of cost, new control law is designed. The runway model parameter identification method, which satisfy the requirement of development of aircraft braking system is also presented.On basis of analyzing problems caused by asymmetrical load of braking control system, an scheme is given to adjust anti-skid current with the method of PBM control that makes velocity dispersion as control variable and adopts the adaptive neuro-fuzzy inference system (ANFIS) to get fuzzy algorithm through neural network. Then, designation of anti-skid controller is completed through integration of ANFIS, PBM module and balance adjusting module.For the purpose of overcoming the uncertainty of tyre-runway model, genetic programming(GP) based on evolution computation is used to get the relation of friction coefficent and slip ratio from the set of samples under different runway conditions, and the formulas from parameter identification are applid to improve system mathematic model.Moreover, the flow of generating programming code for the subsystems which are separated from the system model is presented and a method of mixed programming with VC and MATLAB tools is introduced in order to build software platform of the simulation system.The results of simulation under three different kind of runway conditions indicate that the control scheme is correct and feasible, the runway model improved via para--meter identification could describe the real frictional characteristics and the aircraft braking simulation system could reflect real environment and satisfy the requirement.
Keywords/Search Tags:Asymmetrical Load, Aircraft Braking System, Control Law, Adaptive Neuro-Fuzzy Inference(ANFIS), Genetic Programming
PDF Full Text Request
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