On-line state estimation and parameter identification for flight

A practical method for real-time flight-state estimation and aerodynamic-coefficient identification for aircraft is introduced. In order to achieve high accuracy, a discrete-time model for flight is presented. This model can offer hierarchical structures by means of which a faster real-time filtering algorithm is achieved. For the identification of aerodynamic coefficients, a recursive maximum likelihood method is presented which is suitable for flight regimes at low and high angles of attack. The results of simulation and computation show that the outputs of real-time flight state estimation are much more accurate than those calculated directly from noisy measurements