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Microsatellite Uncertainty Control Using Deterministic Artificial Intelligence.

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Deterministic artificial intelligence (DAI) significantly enhances spacecraft control under uncertain conditions. DAI improves trajectory tracking accuracy by over 91% and reduces control effort, outperforming traditional methods in simulated space environments.

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Area of Science:

  • Spacecraft engineering
  • Artificial intelligence
  • Control systems

Background:

  • Current spacecraft control methods struggle with unknown sensor noise and parameter variations.
  • Existing literature on deterministic artificial intelligence (DAI) for space applications often assumes ideal environmental conditions.
  • Parametric uncertainties pose a significant challenge to reliable spacecraft operation.

Purpose of the Study:

  • To evaluate the efficacy of deterministic artificial intelligence (DAI) in a space environment with unaddressed parametric uncertainties.
  • To address the literature gap concerning DAI performance under dynamic and unpredictable conditions.
  • To compare DAI with traditional control schemes in the presence of simulated spacecraft damage and disturbances.

Main Methods:

  • A comparative analysis was conducted between an idealized non-linear feedforward (FFD) and linearized feedback (FB) control scheme and an altered FFD, FB, and DAI scheme.
  • Simulations incorporated realistic scenarios of spacecraft damage and environmental disturbances.
  • Key performance metrics included trajectory tracking error, standard deviation of error, and control effort.

Main Results:

  • Deterministic artificial intelligence (DAI) demonstrated a significant improvement in mean trajectory tracking error, exceeding 91%.
  • The standard deviation of trajectory tracking error was reduced by over 97% with the DAI scheme.
  • Control effort was reduced by 13% when utilizing the DAI approach.

Conclusions:

  • Deterministic artificial intelligence (DAI) offers superior performance in spacecraft control compared to traditional methods when facing unknown sensor noise and physical parameter changes.
  • DAI effectively mitigates the impact of simulated spacecraft damage and environmental disturbances, enhancing mission reliability.
  • The findings highlight DAI's potential for robust and efficient spacecraft attitude and trajectory control in challenging space environments.