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MEMS Inertial Navigation System Data Solve And The Error Compensation Algorithm Research

Posted on:2014-02-21Degree:MasterType:Thesis
Country:ChinaCandidate:J F WangFull Text:PDF
GTID:2248330395989568Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
MEMS (micro electro mechanical system) inertial navigation system has beenapplied to many fields, such as industry, agriculture, aviation, ship, submarine,airplanes, cars, scientific research units, and other aspects, especially the army guidedweapon, aircraft, and military equipment for MEMS inertial navigation system requirespecial strictly. In foreign countries, the application of the navigation system longerthan China, equipment and arithmetic precision better than us, we were created a lotof new equipment in the foreign advanced equipment and technology, it’s plays aguiding significance and important reference value as in the research field.MEMS inertial navigation system use it too easy, data monitoring update rate ishigh, precision accurate, little error. But navigation information through time willproduce error, the error also increases as time increases. So in this paper, MEMSinertial navigation system data solve use euler angle and quaternion algorithm; errorcompensation algorithm using GP-SRUKF filtering algorithm, SRUKF filteringalgorithm are compared to GP-SRUKF, at last choose GP-SRUKF filtering algorithmwill be better. Using LabVIEW and Matlab simulation software research inertialmeasurement unit simulation. When MEMS inertial navigation system environmentand condition are relatively stable, using Euler Angle, algorithm speed is simple andquick. Quaternion algorithm apply to bad environment, high precision, navigationaccuracy, it have not singularity. SRUKF filtering algorithm of error compensationalgorithm is very widely in nonlinear state filtering, precision and stability isrelatively stable, as according to time increase, error also increase, SRUKF canimprove system precision. GP-SRUKF filtering algorithm is a kind of new algorithm,based on SRUKF filtering algorithm, it will add to Gaussian process regression, notonly error compensation accuracy is small, but also improve noise error, precisionerror coefficient smaller than SRUKF, it’s a new solution with the meaning ofguidance for the future.This paper based on LabVIEW and Matlab simulation software to solve datacalculating and error compensation for system analysis. According to different environment conditions and operation process design MEMS inertial navigationsystem measuring device for software development, combine analysis result ofhardware design. Analysis data solve changes of different parameters and as timeincrease, error compensation will be changing error size, according to the analysisresults show practicability of simulation and value.
Keywords/Search Tags:MEMS inertial navigation system, euler angle, quaternion, SRUKF, GP-SRUKF
PDF Full Text Request
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