Trajectory Optimization Method Based on Genetic Algorithm for Air-to-Air Missiles
Huijun Zhang
Abstract
Huijun Zhang
Abstract
An advanced trajectory optimization method based on genetic algorithm is proposed in this paper.The proposed trajectory optimization method regards the terminal velocity as the performance index and the flight path angle as the control variable,and maximizes the terminal velocity in the given flight time and range.The paper estimates the regulation of the flight path angle by multinomial spine interpolation and genetic algorithm.Then,the optimal trajectory is achieved.The simulation results show that the terminal velocity of optimal trajectory achieved from the method above is better than that from proportional method.The results have certain reference value in the design of standard trajectory for air-to-air missiles.
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An advanced trajectory optimization method based on genetic algorithm is proposed in this paper.The proposed trajectory optimization method regards the terminal velocity as the performance index and the flight path angle as the control variable,and maximizes the terminal velocity in the given flight time and range.The paper estimates the regulation of the flight path angle by multinomial spine interpolation and genetic algorithm.Then,the optimal trajectory is achieved.The simulation results show that the terminal velocity of optimal trajectory achieved from the method above is better than that from proportional method.The results have certain reference value in the design of standard trajectory for air-to-air missiles.
Key concepts: Trajectory, Trajectory optimization, Genetic algorithm, Interpolation (computer graphics), Control theory (sociology), Path (computing), Optimal control, Variable (mathematics)