Velocity and Attitude Matching of Transfer Alignment by Using H∞ Filter

Abstract:

The H∞ filter is adopted in the transfer alignment (TA) which is realized by the Velocity and Attitude Matching, when the disturbances in measurements are complete unknown. The performance of H∞ filter is compared with kalman filter. The simulation results show both that H∞ filter and kalman filter all are effective and kalman filter is more accurate than H∞ filter when system noise and measurement noise are white noise. But H∞ filter is more accurate than kalman filter when system noise and measurement noise are color noise. H∞ filter is an effective estimation method because H∞ filter is more suitable to engineering practice than kalman filter.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 4861-4864
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.4861
• Online since: January 2012
• Authors: Li Jun Song, Deng Feng Cheng, Wei Lu
• Keywords: Attitude Matching, H_∞ Filter, Kalman Filter (KF), Transfer Alignment, Velocity Matching

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