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Robust Adaptive Filter for Small Satellite Attitude Estimation Based on Magnetometer and Gyro

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  • Zhankui Zeng
  • Shijie Zhang
  • Yanjun Xing
  • Xibin Cao

Abstract

Based on magnetometer and gyro measurement, a sequential scheme is proposed to determine the orbit and attitude of small satellite simultaneously. In order to reduce the impact of orbital errors on attitude estimation, a robust adaptive Kalman filter is developed. It uses a scale factor and an adaptive factor, which are constructed by Huber function and innovation sequence, respectively, to adjust the covariance matrix of system state and observational noise, change the weights of predicted and measured parameters, get suitable Kalman filter gain and approximate optimal filtering results. Numerical simulations are carried out and the proposed filter is approved to be robust for the noise disturbance and parameter uncertainty and can provide higher accuracy attitude estimation.

Suggested Citation

  • Zhankui Zeng & Shijie Zhang & Yanjun Xing & Xibin Cao, 2014. "Robust Adaptive Filter for Small Satellite Attitude Estimation Based on Magnetometer and Gyro," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-7, May.
    • Handle: RePEc:hin:jnlaaa:159149
    DOI: 10.1155/2014/159149
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    Cited by:

    1. Xin Wang & Seyed Mehdi Abtahi & Mahmood Chahari & Tianyu Zhao, 2022. "An Adaptive Neuro-Fuzzy Model for Attitude Estimation and Control of a 3 DOF System," Mathematics, MDPI, vol. 10(6), pages 1-16, March.

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