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Trajectory optimization in stochastic environment based on original natural computation

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Affiliation of Author(s):航天学院

Title of Paper:Trajectory optimization in stochastic environment based on original natural computation

Journal:Proc. Chin. Control Decis. Conf., CCDC

Abstract:This paper proposed a global optimization algorithm to solve the trajectory optimization problem of flight vehicles in stochastic environments. Flight vehicles must complete various missions in a stochastic environment, such as flying across flight points, cooperation antagonism with other vehicles. The stochastic environment includes threat areas with random size and position, and wind field with random intensity and direction. This algorithm is capable of optimizing multi system control problem with multiple performance indexes globally, satisfying all static and dynamic, visible and invisible constraints. Through numerical simulations, it is found that this algorithm can solve multi-vehicles multi-objective flight trajectory optimization problem in stochastic environment perfectly. © 2018 IEEE.

Page Number:6027-6031

Translation or Not:no

Date of Publication:2018-07-06

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