A forecasting algorithm (FORS) based on Auto Regressive Moving Average (ARMA) processes was developed to correctly model stationary processes and was applied in simulations to the problem of improving the efficiency of an adaptive optics (AO) system. We present here a hardware demonstrator developed at the Solar Physics Laboratory of the University of Rome Tor Vergata where this algorithm has been implemented. An AO system has been deployed to test the efficiency of the algorithm, in which controlled aberrations are introduced in the system and the efficiency of the correction is measured. The demonstrator has proved that there is a significant performance gain by using the FORS algorithm.
Piazzesi, R., Stangalini, M., DEL MORO, D., Berrilli, F. (2012). Experimental test of turbulence prediction algorithms. In Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series [10.1117/12.926329].
Experimental test of turbulence prediction algorithms
DEL MORO, DARIO;BERRILLI, FRANCESCO
2012-09-01
Abstract
A forecasting algorithm (FORS) based on Auto Regressive Moving Average (ARMA) processes was developed to correctly model stationary processes and was applied in simulations to the problem of improving the efficiency of an adaptive optics (AO) system. We present here a hardware demonstrator developed at the Solar Physics Laboratory of the University of Rome Tor Vergata where this algorithm has been implemented. An AO system has been deployed to test the efficiency of the algorithm, in which controlled aberrations are introduced in the system and the efficiency of the correction is measured. The demonstrator has proved that there is a significant performance gain by using the FORS algorithm.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
