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Fast alignment and calibration algorithms for inertial navigation system

Research output: Contribution to journal › Article › peer-review

Abstract

Algorithms for fast estimating the azimuth misalignment angle and calibrating gyro drift rates are approached from the point of view of control theory. By introducing the Lyapunov transformation, the equivalence of Strapdown Inertial Navigation System (SINS) and Gimbaled Inertial Navigation System (GINS) is discussed, and it shows that the analysis results of GINS can be applied to SINS directly by using such kind of equivalence. A similar transformation that based on physical essence is introduced, so that the true states can be replaced by the so-called pseudo-states, and then the observable states of INS can be dynamically decoupled with the unobservable states. Consequently, the best completely observable subsystem model of INS can be obtained. Based on the simplified subsystem model of INS, the algorithms for fast estimating the azimuth misalignment angle and calibrating gyro drift rates are proposed. The proposed algorithms show that the azimuth misalignment angle and gyro drift rates can be estimated from the rates of leveling misalignment angles without using the gyro output signals. Crown

Original languageEnglish
Pages (from-to)204-209
Number of pages6
JournalAerospace Science and Technology
Volume13
Issue number4-5
DOIs
StatePublished - Jun 2009

Keywords

  • Inertial navigation systems
  • Initial alignment
  • Kalman filtering
  • Observability

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