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Based On Fuzzy Control Of Anti-skid Brake System Modeling And Simulation Research

Posted on:2004-01-21Degree:MasterType:Thesis
Country:ChinaCandidate:X J LuFull Text:PDF
GTID:2192360095950787Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
In modern aircraft, the anti-skid braking system is one of the main airborne devices and plays a very important role in safely takeoff and landing. This paper presents a full system simulation study way on the aircraft anti-skid braking system during airplane normal landing period by the SIMULINK of MATLAB. The system include not only the control unit model and servo brake system model, but also the aircraft equations of both dynamics and movement in the landing procedure, the fitness characteristic curves in runway, the tire and the brake-wheel's rotation performance etc. The model in this paper shows the real performance of the aircraft anti-skid braking system.Secondly, this paper brings forward the design scheme and implement method of the anti-skid braking control system based on the fuzzy controller. The control system is a form of human intelligent control. It uses fuzzy controller to realize system control. Fuzzy model, using fuzzy logical language and policy, is described properties of a system. According to the working principle of anti-skid braking system and the properties of fuzzy control, the anti-skid control system used the wheel slip velocity, the error and error change ratio of slip ratio is obtained by given reference velocity, which is the input of fuzzy control and which comprises of input fuzzy, fuzzy reasoning, fuzzy policy and output inverse fuzzy.This paper simulates the braking system that using fuzzy control and using PID control on the wet way, dry way and ice way by the SIMULINK of MATLAB, analyses the simulated results. The simulated results indicate that the models in this paper are right and valid, the fuzzy control can improve the aircraft braking performance greatly.
Keywords/Search Tags:anti-skid, braking system, fuzzy control, fuzzy controller, control law, simulate
PDF Full Text Request
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