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Research Of Anti-Lock Braking System In Vehicle Swerve

Posted on:2007-09-05Degree:MasterType:Thesis
Country:ChinaCandidate:W H LiFull Text:PDF
GTID:2132360182483187Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
With the development of science and technology and the improvement ofthe people's standard of living, human's requirement of the vehicle securitybecome higher and higher, especially the braking security. Anti-lock brakingsystem (ABS) is a kind of device, which can regulate the wheel's braking forceautomatically, prevent the wheels from locking and acquire the best effectduring braking. This device is significant to steering safety. So it has becomeone of the necessary parts of the top grade car.Firstly, the paper anatomized the control principle of ABS, and based on itintroduced the structures, species, every part functions of ABS. The dynamicsmodel founded by predecessors was adapted to build simulation model. Thesimulation model takes into account the vehicle dynamics model, tire mechanicsmodel, mechanics model of hydraulic pressure executives. All the models aremodestly predigested to reconcile simulation feasibility and reliability.Secondly, to find a solution controlling the detent brake force, emergencyswerve brake process was simulated based on the founded simulation modelthrough controlling the slip ratio. According to the shortcoming that theparameters of PID controller were tuned online,we designed the fuzzy PIDcontroller which based on slip ratio, which could tune the parameters of PIDcontroller online, and obtained the nicer control effect during the simulation.Subsequently we designed fuzzy-neural-network (FNN) PID controller, andobtained the effect that better control the slip ratio and shorten the simulationtime.At last, this paper implemented the ABS core—ECU (Electronic ControlUnit) using the ARM platform whose hardcore is SAMSUNG 44B0, and put itinto the simulation model to validate it, and implemented the function of simplecontroller.
Keywords/Search Tags:Anti-lock braking system, Slip ratio, Fuzzy control, Fuzzy neural network control, Electronic control unit
PDF Full Text Request
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