Online identification for hypersonic vehicle using recursive maximum likelihood method based on interior-point algorithm

The purpose of this paper is to propose a recursive maximum likelihood method based on interior-point algorithm to online estimate the uncertain aerodynamic parameters for hypersonic vehicles. In order to improve the identification performance, boundaries of unknown parameters are introduced as prior knowledge to covert the online estimation problem into a constrained optimization problem. Then the interior-point algorithm is applied to solve this problem. This algorithm can improve the accuracy and efficiency of typical maximum likelihood estimation, reduce it´s dependence on initial conditions and always keep the identification result in a reasonable range. Simulation results demonstrate the effectiveness of the method.