The MICADO first light imager for the ELT: first on-bench performance tests of the SCAO hybrid LQG+Integrator controller
N. Levraud, F. Ferreira, A. Sevin, E. Gendron, N. Galland, H. -F. Raynaud, Y. Clénet, R. Davies, C. Kulcsár
Abstract
The Extremely Large Telecope (ELT) is expected to begin scientific operations in 2030, with MICADO as its first-light imager. The Single Conjugate Adaptive Optics (SCAO) system for MICADO is currently being assembled and tested at the Observatoire de Paris. MICADO's baseline AO control strategy uses a hybrid approach: a Linear Quadratic Gaussian (LQG) regulator for low-order modes, optimised to adapt to the disturbance caused by vibrations and ELT windshake, and an integral action controller for higher-oder modes. Despite the non linearity of the Pyramid Wavefront Sensor (PyWFS), the so-called "optical gains", LQG control has proven to be highly effective in simulation. It has been shown that the LQG regulator is resilient to optical gain variations in the loop or to inaccuracies in their estimation. Increasing the number of modes controlled by the LQG regulator would therefore make the controller less sensitive to the optical gains, which are notoriously difficult to estimate during operation. A first hybrid controller, with only tip-tilt controlled with LQG control, has been validated using COMPASS, the end-to-end, GPU-accelerated, AO simulation platform. We will present the first experimental validation of this hybrid controller on the MICADO-SCAO bench. We will also present results obtained by increasing the number of modes controlled with LQG control and the work carried out to go towards an autonomous LQG regulator.
Create a lesson
Related papers
Towards the exploration of astrophysical datacubes through volumetric rendering within CARTA
Ixaka Labadie-García, Adrianna Pińska, Angus Comrie et al.
Optimal transport regularized dynamic radio interferometric reconstruction
Andy Nilipour, Kotaro Moriyama, Shiro Ikeda et al.
Background Intensity Estimation for Cassini-ISS Image Using Deep Learning-Based Diffusion Model
Yongxin Chen, Qingfeng Zhang, Tianle Zhou et al.
Microscopy assessment of two multiple-transient candidates
Jun Yang, Beatriz Villarroel
RadialPaths: Radial profiles in multi-centred astronomical structures
Rafael S. de Souza
The MegaWave Radio Surveyor
T. Joseph W. Lazio, Evgenya Shkolnik, James Aguirre et al.