Research On Trajectory Planning And Guidance Approach For High-speed Vehicle Under Uncertainty

With the advantages of long-range strike,fast strike and precision strike,the high-speed vehicle is gradually becoming an important combat force in the future war.Trajectory planning and guidance is an important part of high-speed vehicle technology.This paper takes high-speed vehicles as the research object and focuses on flight trajectory planning and guidance under uncertainty.The contributions of this paper can be summarized as follows:The online trajectory planning method based on data-driven fuzzy control is studied.Firstly,particle swarm optimization algorithm is used to perform offline trajectory optimization to generate lots of high-precision trajectory sample data.Then,based on the data-driven fuzzy control method,fuzzy rules are extracted from the sample data,a complete fuzzy rule base is established,and then the online trajectory planning task is completed.At the same time,given the poor terminal accuracy of the trajectory obtained by fuzzy mapping under certain uncertain conditions,the trajectory correction method of predictive correction is introduced to form a closed-loop system with fuzzy control to improve the terminal accuracy of the flight trajectory.The trajectory tracking method based on point-to-point iterative learning control is studied.Based on the trajectory planning in the previous chapter,the feasibility of the nominal trajectory under different deviation conditions is verified.A data-driven point-topoint iterative learning control method based on conjugate gradient and particle swarm optimization is proposed respectively.Firstly,the controller is designed based on the conjugate gradient.Then,a trajectory tracking method based on conjugate gradient pointto-point iterative learning control is proposed,and the simulation verification of flight altitude tracking is carried out.Afterward,aiming at the problem that the convergence rate of the system is greatly affected by the controller parameters,an iterative learning control based on PSO algorithm is proposed.And the effectiveness of the method is verified by simulation.The guidance method based on terminal iterative learning control is studied.Based on point-to-point iterative learning trajectory tracking in the previous chapter,a guidance method based on terminal iterative learning control is further proposed.Firstly,the controller is designed based on the description of the terminal iterative learning control problem.Then,a novel guidance method based on terminal iterative learning control is proposed in combination with the guidance theory.The terminal iterative learning control is used to simultaneously track the altitude and velocity of the vehicle and the simulation is also carried out.Simulation results indicate that this guidance method is of higher terminal accuracy and robustness.To sum up,this paper studies the theoretical method of trajectory planning and guidance for vehicles under uncertainty;analyzes and designs the typical missions of highspeed vehicles in boost phase.Some research production on trajectory planning and guidance are obtained in this paper,which lays a foundation for further research.