Online estimation of linear state-space parameters of the Generic Transport Model for a set of structural damage scenarios

This paper reports the results of online state-space parameter estimation for a nonlinear Generic Transport Model during changing operating conditions and a set of six damage scenarios including lost control surfaces. The motivation is to provide rapid and accurate model information for use in online assessment of the flight envelope. Providing this information to the pilot and control systems is critical for aircraft safety. The parameters are estimated based on a linearized aircraft model using the modified sequential least squares algorithm. An excitation signal is proposed to reduce linear dependencies among the data. Common tuning mechanisms are discussed to improve parameter estimation during upset conditions.