Print Email Facebook Twitter A data-driven H2-optimal control approach for adaptive optics Title A data-driven H2-optimal control approach for adaptive optics Author Hinnen, K. Verhaegen, M. Doelman, N.J. TNO Industrie en Techniek Publication year 2008 Abstract Adaptive optics (AO) is used in ground-based astronomical telescopes to improve the resolution by counteracting the effects of atmospheric turbulence. Most AO systems are based on a simple control law that neglects the temporal evolution of the distortions introduced by the atmosphere. This paper presents a data-driven control design approach that is able to exploit the spatio-temporal correlation in the wavefront, without assuming any form of decoupling. The approach consists of a dedicated subspace-identification algorithm to identify an atmospheric disturbance model from open-loop wavefront sensor data, followed by H2-optimal control design. It is shown that in the case that the deformable mirror and wavefront sensor dynamics can be represented by a delay and a two taps impulse response, it is possible to derive an analytical expression for the H2-optimal controller. Numerical simulations on AO test bench data demonstrate a performance improvement with respect to the common AO control approach. © 2008 IEEE. Subject ElectronicsIndustrial InnovationAdaptive optics (AO)Data-driven disturbance modelingStochastic identificationComputer simulationControl system synthesisMirrorsSensor data fusionSpace telescopesWavefrontsData-driven control designOptimal control systems To reference this document use: http://resolver.tudelft.nl/uuid:51c0a89f-22e1-42e2-958c-0be3190938cf TNO identifier 240767 ISSN 1063-6536 Source IEEE Transactions on Control Systems Technology, 16 (3), 381-395 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.