Research Rocket Trajectory Optimization

The main content of this article is based on Genetic Algorithm (based Algorithm) of rockettrajectory optimization design and simulation study.For the rockets is deduced based on the rigid body trajectory model simplified ballistic model,the ballistic model of ballistic optimization design not only ensure the calculation precision, andimproves the computational efficiency; After a study of basic principle of genetic algorithm andperformance test of different improved genetic algorithm, finally choose the suitable for very longrange guided missile trajectory optimization design of the algorithm. Made of A variety of test toselect the improved genetic algorithm respectively realized with rockets and type B rockettrajectory optimization.Ballistic optimization design based on the fully consider the feasibility of the scheme. In therocket trajectory optimization design of the past, the researcher’s attention often only on thetheoretical level, in order to pursue maximum range, easy to overlook the weapon system overalldesign requirements, to plan the realizability of all into consideration, the result is impossible toimplement in reality. This paper is to avoid the defects in the design process fully consider therealizability of solution.This paper uses the improved genetic algorithm for rocket trajectory optimization design. Onthe basis of the standard genetic algorithm, the elite individuals to retain the introduction of thestrategy and hierarchical optimization ideas not only guarantee the global convergence, andgreatly improve the convergence speed of the algorithm, to avoid the premature convergencecondition of the standard genetic algorithm. Compared with the traditional optimization algorithm,using the improved genetic algorithm is easier to design a ballistic optimization scheme ofsuperior performance.In this paper, the related research results and method can be used for reference in thesubsequent studies.