Identification of Aerodynamic Parameters Based on Maximum Likelihood Estimation

Aiming at the requirement of aerodynamic parameters in the design of electric aircraft control system, an identification of aerodynamic parameters algorithm based on maximum likelihood estimation is proposed. Firstly, the Bryan linear aerodynamic model is used to derive the state equation and observation equation needed for identification; then based on the maximum likelihood estimation criterion and combined with the Newton-Raphson optimization algorithm, the identification of aerodynamic parameters in the equation is realized; finally, the algorithm is verified by using the longitudinal simulation data of an electric aircraft flight. The identification results show that our algorithm has high identification accuracy, strong anti-interference, fast convergence and good engineering practicability under the step input, doublet input and 3211 form input.