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A Two-Dimensional Solar Tracking Stationary Guidance Method Based on Feature-Based Time Series

Author

Listed:
  • Keke Zhang
  • Chaoming Si
  • Zhencai Zhu
  • Chongbin Guo
  • Qi Shi

Abstract

The amount of satellite energy acquired has a direct impact on operational capacities of the satellite. As for practical high functional density microsatellites, solar tracking guidance design of solar panels plays an extremely important role. Targeted at stationary tracking problems incurred in a new system that utilizes panels mounted in the two-dimensional turntable to acquire energies to the greatest extent, a two-dimensional solar tracking stationary guidance method based on feature-based time series was proposed under the constraint of limited satellite attitude coupling control capability. By analyzing solar vector variation characteristics within an orbit period and solar vector changes within the whole life cycle, such a method could be adopted to establish a two-dimensional solar tracking guidance model based on the feature-based time series to realize automatic switching of feature-based time series and stationary guidance under the circumstance of different angles and the maximum angular velocity control, which was applicable to near-earth orbits of all orbital inclination. It was employed to design a two-dimensional solar tracking stationary guidance system, and a mathematical simulation for guidance performance was carried out in diverse conditions under the background of in-orbit application. The simulation results show that the solar tracking accuracy of two-dimensional stationary guidance reaches 10 ∘ and below under the integrated constraints, which meet engineering application requirements.

Suggested Citation

  • Keke Zhang & Chaoming Si & Zhencai Zhu & Chongbin Guo & Qi Shi, 2018. "A Two-Dimensional Solar Tracking Stationary Guidance Method Based on Feature-Based Time Series," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-12, April.
  • Handle: RePEc:hin:jnlmpe:3420649
    DOI: 10.1155/2018/3420649
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