Aerodynamic Parameter Identification of Hypersonic Vehicles Based on Improved Harris Hawks Optimization

Abstract

This paper proposes a hypersonic vehicle aerodynamic parameter identification method, based on the improved harris hawks optimization (IHHO) algorithm. It is used to deal with the problem that the traditional great likelihood method in hypersonic vehicle aerodynamic parameter identification can lead to sensitivity to initial values, transforming the identification problem into an optimization problem. This algorithm simulates the hunting behaviour of the harris hawk. It makes the hawk population evolve in a better direction by switching the exploration and exploitation stages and choosing different besiege strategies. It can improve the way of updating the escape energy and enhance the hawk flock's global searching ability and pre-search efficiency. The identification result shows that this method effectively reduces the initial value sensitivity, accelerates the convergence speed, and improves the identification accuracy, which is valuable in engineering applications.