Model predictive control-based adaptive optics system with deep-learning Shack-Hartmann wavefront sensor

Wei-Shiuan Huang; Chia-Wei Hsu; Feng-Chun Hsu; Chun-Yu Lin; Shean-Jen Chen

doi:10.1117/12.2675911

7 August 2023 Model predictive control-based adaptive optics system with deep-learning Shack-Hartmann wavefront sensor

Wei-Shiuan Huang, Chia-Wei Hsu, Feng-Chun Hsu, Chun-Yu Lin, Shean-Jen Chen

Proceedings Volume 12624, Digital Optical Technologies 2023; 126241C (2023) https://doi.org/10.1117/12.2675911
Event: SPIE Digital Optical Technologies, 2023, Munich, Germany

Abstract

Model predictive control (MPC) can use the state of the current measurement processing to predict future events and be able to take control processing accordingly. To implement MPC in our adaptive optics system (AOS), a multichannel state-space model is first identified between the driving voltage for a 61-channel deformable mirror (DM) as the input and the 8-order Zernike polynomial coefficients via a lab-made Shack-Hartmann wavefront sensor (SHWS) as the output. Conventionally, the center of weight algorithm is utilized to reconstruct the wavefront from SHWS, but it takes a lot of computation time. Therefore, a deep learning (DL) approach based on U-Net is adopted to rapid reconstruct the wavefront. The U-Net significantly reduces the time to compute the wavefront and also gets the higher accuracy. After that, the MPC controller based on the identified system model is implemented in AOS. Currently, the simulation results demonstrate that the MPC with the DL-SHWS can fast correct the wavefront aberration. Eventually, the MPC-based AOS will be implemented under Robot Operating System (ROS) to achieve real-time control.

Citation Download Citation

Wei-Shiuan Huang, Chia-Wei Hsu, Feng-Chun Hsu, Chun-Yu Lin, and Shean-Jen Chen "Model predictive control-based adaptive optics system with deep-learning Shack-Hartmann wavefront sensor", Proc. SPIE 12624, Digital Optical Technologies 2023, 126241C (7 August 2023); https://doi.org/10.1117/12.2675911

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KEYWORDS

Wavefronts

Wavefront sensors

Adaptive optics

Reconstruction algorithms

Wavefront reconstruction

Education and training

System identification

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