NSGA Ⅱ based multi-objective homing trajectory planning of parafoil system

来源 :Journal of Central South University | 被引量 : 0次 | 上传用户:rocxdp
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Homing trajectory planning is a core task of autonomous homing of parafoil system.This work analyzes and establishes a simplified kinematic mathematical model,and regards the homing trajectory planning problem as a kind of multi-objective optimization problem.Being different from traditional ways of transforming the multi-objective optimization into a single objective optimization by weighting factors,this work applies an improved non-dominated sorting genetic algorithm Ⅱ(NSGA Ⅱ) to solve it directly by means of optimizing multi-objective functions simultaneously.In the improved NSGA Ⅱ,the chaos initialization and a crowding distance based population trimming method were introduced to overcome the prematurity of population,the penalty function was used in handling constraints,and the optimal solution was selected according to the method of fuzzy set theory.Simulation results of three different schemes designed according to various practical engineering requirements show that the improved NSGA Ⅱ can effectively obtain the Pareto optimal solution set under different weighting with outstanding convergence and stability,and provide a new train of thoughts to design homing trajectory of parafoil system. Homing trajectory planning is a core task of autonomous homing of parafoil system. This work analyzes and establishes a simplified kinematic mathematical model, and regards the homing trajectory planning problem as a kind of multi-objective optimization problem. multi-objective optimization into a single objective optimization by weighting factors, this work applies an improved non-dominated sorting genetic algorithm Ⅱ (NSGA Ⅱ) to solve it directly by means of optimizing multi-objective functions simultaneously. In the improved NSGA Ⅱ, the chaos initialization and a crowding distance based population population trimming method were introduced to overcome the prematurity of population, the penalty function was used in handling constraints, and the optimal solution was selected according to the method of fuzzy set theory. Simulation results of three different schemes designed according to various practical engineering requirements show that the improved NSGA II can be obtained the Pareto optimal solution set under different weighting with outstanding convergence and stability, and provide a new train of thoughts to design homing trajectory of parafoil system.
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