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Un-powered gliding aircraft's ballistic missile optimal design
Authors:HE Chang-jian and MENG Xiu-yun
Affiliation:1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China;The First Research Institute of Ministry of Public Security of PRC, Beijing 100048, China;2. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China
Abstract:In this dissertation, un-powered gliding aircraft's optimal extended rangeproblem is discussed. The aircraft movement model was built. According to the degree of coupling, the model can be classified into a simple model or a complicated model. Using an optimal control method, two different movement models gave out the aircraft's attitude angle optimal flight path. Complicated model's optimal solution can be found by the genetic algorithm. This method can transfer the analytic solution of complicated model to a numerical value solution. Comparing the simulation results of different methods, it showed that the genetic algorithm combined with the complicated model's numerical value solution had the best performance in control strategy. This method solved the problem in which the highly coupling complicated model's analytic solution was hard to obtain. It verified that the genetic algorithm has validity in the field of extended range solution searching.
Keywords:optimal enhance distance problem  optimal control  genetic algorithm  highly coupling complicated model
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