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25 August 1993 Adaptive nonlinear control systems for atmospheric correction
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In this paper we characterize and illustrate Adaptive Optics Control system errors associated with sensor misregistration and present an approach to minimize them by employing nonlinear adaptive control methodologies. Furthermore, through the use of the Extended Kalman Filter methods, we determine if it is feasible that experimental data can be used to drive a complete multi-input multi-output dynamic model of the closed-loop adaptive optics system to estimate parameters directly related to stability margins. Finally, we review some aspects of the adaptive reconfiguration capabilities of the Hartmann wavefront sensor to be used for the verification of the Hubble Space Telescope optics. That sensor has the ability to adjust itself to misregistration with the system pupil via the modification of algorithm parameters. It also corrects for misalignment with the image location via active repositioning of the optical head.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Allan Wirth, Andrew J. Jankevics, Sol W. Gully, Michael Athans, and James Huang "Adaptive nonlinear control systems for atmospheric correction", Proc. SPIE 1920, Active and Adaptive Optical Components and Systems II, (25 August 1993);


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