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Research On The Technologies Of Integrated Navigation System For Land Vehicles Based On MEMS Device

Posted on:2016-10-12Degree:MasterType:Thesis
Country:ChinaCandidate:L HanFull Text:PDF
GTID:2272330464451093Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of the MEMS technique, The integration ofStrap-down Inertial Navigation System(SINS) based on the technology of Micro ElectricalMechanical Systems(MEMS) and Global Positioning System(GPS) provides a feasiblesolution for the implementation of navigation system featured with low-cost, small scaleand lightweight.With the implementation of the navigation system for land vehicles asbackground, this dissertation studies the key technologies, which involves MEMS-InertialMeasurement Unit(IMU) error analysis and compensation scheme, the algorithm ofintegrated navigation, integrated navigation system filter design, to improve the accuracyand the reliability of MEMS-SINS/GPS integrated navigation system.The development course and the present domestic and overseas condition ofautomotive navigation system are introduced, the working principle and the error sources ofSINS and GPS are analyzed, the combination transaction mode of SINS and GPS arestudied, after contrast the advantages and the disadvantages of loose and tight combinationmode, setting up the mathematical model of SINS and GPS;Micro inertial sensors’ sourcesare divided by analyzing the structure of IMU(Inertial Measurement Unit) in the integratednavigation systems. Resources(especially the stochastic error sources) models areestablished in the micro inertial sensors of the land vehicles’ integrated navigationsystems.Adaptive kalman filter navigation algorithm is brought forward through analysingcurrent information fusion technology and researching integrated navigation systems’ integrated navigation algorithms in the integrated navigation systems in land vehicles.
Keywords/Search Tags:Inertial Measurement Unit, MEMS device, Adaptive kalman filter, ARMA model
PDF Full Text Request
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