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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2013, Vol. 34 ›› Issue (10): 2402-2410.doi: 10.7527/S1000-6893.2013.0219

• Electronics and Control • Previous Articles     Next Articles

Differential Inertial Filter Design and Performance Analysis for Estimation of Misalignment Angle Between Airborne Master INS and Slave INS

YUE Yazhou1,2, LI Sihai1,3, ZHANG Yachong1,2, LIU Zhenbo3, WANG Jue3   

  1. 1. Science and Technology on Aircraft Control Laboratory, Xi'an 710065, China;
    2. Xi'an Flight Automatic Control Research Institute, Xi'an 710065, China;
    3. School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
  • Received:2012-12-20 Revised:2013-04-18 Online:2013-10-25 Published:2013-05-07
  • Supported by:

    National Basic Research Program of China (2010CB731800);Aviation Science and Technology Supporting Foundation of China (61901060303);Aeronautical Science Foundation of China (20110818013)

Abstract:

In order to estimate the mounting misalignments and the flexure angles between a master inertial navigation system (MINS) and slave inertial navigation system (SINS) in the course of flying so as to align airborne mission sensor/weapon systems with high accuracy and monitor the flight state continuously, a scheme for the estimation of misalignment angles between the MINS and SINS based on a differential inertial filter is presented. First, the filter design is introduced involving state and observation equations. Then simulation and performance analysis of the differential inertial filter are accomplished by using representative flexure data and vibration environment data in the references as well as inertial sensor data. The simulation result indicates that using aviation standard inertial navigation system (INS) as MINS and 1-60 (°)/h gyro drift grade INS as SINS, the estimation error of misalignment comes to (0.6-1.5)×10-3 rad and the alignment converges quickly. These search result provides a technical realization for the development of high accuracy attitude reference and the continuous real-time monitoring of flight status.

Key words: inertial navigation systems, alignment, Kalman filtering, deformation, differential inertial filter

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