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Affiliation of Author(s):航天学院

Title of Paper:Multiple Flight Vehicles Trajectory Global Optimization Based on Improved Natural Running Process Algorithm

Journal:2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)

Key Words:Multiple flight vehicles Cooperation Confrontation Trajectory Optimization Improved NRPA Rational Value

Abstract:Natural running process algorithm (NRPA) is a novel algorithm for multiple flight vehicles trajectories optimization problem. In this paper we provide an improved NRPA to optimize cooperation and confrontation trajectories for multiple flight vehicles. A new concept of rational value is proposed to make combined substances to evolve or eliminate depending on their states current and subsequent. This paper also introduces the calculation steps of the improved NRPA, and confirms the accuracy in solving optimization problem of multi-phase, multi-target, multilateral confrontations. Regarding on the cooperation and confrontation among multiply flight vehicles, several numerical simulation results have been provided to prove the feasibility of the improved NRPA, as well as superiority for the multilateral confrontations problem.

ISSN No.:1948-9439

Translation or Not:no

Date of Publication:2017-01-01

Co-author:陈昊翔

Correspondence Author:Nan Ying