REAL-TIME AUTOMATIC TUNING OF AN AIRCRAFT SIDESLIP ESTIMATOR

Abstract The problem presented in this paper is that of finding a method that would allow engineers to tune a “grey-box” sideslip estimator of a new aircraft, known only by a wind-tunnel model, using flight test data. The method that is proposed here, makes a combined use of local learning and real-time parameter estimation techniques. The presented results are obtained using a Simulink-based estimator, stimulated by flight test data.