Trajectory Simulation And Optimization Of Self-Seeking Artillery Missile

According to the development trend of the artillery-launched missiles,the self-seeking artillery-launched missiles,which are mainly characterized by launching,have become the targets of the world's technological powers.The combat capability of a missile is largely determined by the strengths and weaknesses of the ballistic design.This paper conducts ballistic simulation and optimization for a new generation of self-seeking artillery-launched missiles proposed by the Russian "Reed Flute" gun-launched missile.The paper analyzes the forces and moments of the artillery-launched missile during flight,defines the common coordinate system and its conversion relationship,and analyzes the 1976 American standard atmospheric model.On this basis,the kinematic equation and dynamic equation of the artillery-launched missile are established.The ballistic optimization model of the artillery-launched missile is established by using the optimal control theory.The Gauss pseudo-spectral method is used to transform the ballistic optimization from the optimal control problem to the parameter optimization problem,and the ballistic optimization design is carried out for the proportional guidance segment.The simulation model was established by using MATLAB/Simulink,and the trajectory of the self-seeking artillery-launched missile was simulated and analyzed.Ballistic optimization is the process of designing a piece or a set of trajectories to optimize certain performances while satisfying certain constraints.Aiming at the ballistic optimization problem,the motion model,aerodynamic model and optimization model of ballistic optimization calculation are established.With the shortest flight time as the goal,the full ballistic control angle of attack scheme is optimized and the convergence speed is calculated quickly and meets the constraints of various constraints.The feasibility and effectiveness of the Gauss pseudo-spectral method and the sequence quadratic programming method in solving the self-seeking projectile missile ballistic optimization problem are verified.