Design and optimization in multiphase homing trajectory of parafoil system

Abstract

In order to realize safe and accurate homing of parafoil system, a multiphase homing trajectory planning scheme is proposed according to the maneuverability and basic flight characteristics of the vehicle. In this scenario, on the basis of geometric relationship of each phase trajectory, the problem of trajectory planning is transformed to parameter optimizing, and then auxiliary population-based quantum differential evolution algorithm (AP-QDEA) is applied as a tool to optimize the objective function, and the design parameters of the whole homing trajectory are obtained. The proposed AP-QDEA combines the strengths of differential evolution algorithm (DEA) and quantum evolution algorithm (QEA), and the notion of auxiliary population is introduced into the proposed algorithm to improve the searching precision and speed. The simulation results show that the proposed AP-QDEA is proven its superior in both effectiveness and efficiency by solving a set of benchmark problems, and the multiphase homing scheme can fulfill the requirement of fixed-points and upwind landing in the process of homing which is simple in control and facile in practice as well.

Keywords

parafoil system / multiphase homing trajectory / design and optimization / differential evolution algorithm (DEA) / quantum evolution algorithm (QEA) / auxiliary population

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