Zonal-based high-performance control in adaptive optics systems with application to astronomy and satellite tracking

Area of Science:

• Astronomy
• Optical Engineering
• Control Systems

Background:

• Adaptive optics (AO) systems correct atmospheric turbulence to improve astronomical imaging.
• Current AO control models often struggle with computational complexity and real-time performance.
• A zonal (pixelized) representation of atmospheric turbulence offers a promising alternative for model-based control.

Purpose of the Study:

• To develop and evaluate a novel model-based approach for adaptive optics control.
• To investigate a zonal representation of atmospheric turbulence for enhanced control.
• To reduce computational complexity in single-conjugate adaptive optics (SCAO) systems.

Main Methods:

• A multilayer zonal model for SCAO systems was developed, incorporating an edge compensation mechanism.
• Localized zonal models with AR1 or AR2 structures were proposed to match turbulence cross-correlations.
• Linear Quadratic Gaussian (LQG) regulators were designed and evaluated using end-to-end simulations.

Main Results:

• The proposed zonal model-based AO control approach demonstrated high potential in simulations.
• Performance was evaluated for both very large telescope SCAO and low Earth orbit satellite tracking.
• The new method showed competitive performance compared to existing controllers.

Conclusions:

• The zonal representation offers an effective way to encapsulate turbulence dynamics for AO control.
• The proposed localized zonal models significantly reduce computational complexity.
• This approach presents a viable trade-off between AO system performance and computational cost.