对于有限元分析来说,网格划分是其中最关键的一个步骤,网格划分的好坏直接影响到解算的精度和速度。对网格划分这个步骤所涉及到的一些问题,尤其是与复杂模型相关的一些有限元网格划分问题作简要阐述,并给出一个复杂模型的AN SY S有限...对于有限元分析来说,网格划分是其中最关键的一个步骤,网格划分的好坏直接影响到解算的精度和速度。对网格划分这个步骤所涉及到的一些问题,尤其是与复杂模型相关的一些有限元网格划分问题作简要阐述,并给出一个复杂模型的AN SY S有限元网格划分实例。为工程设计提供参考。展开更多
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 mo...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.展开更多
基金Supported by the National Natural Science Foundation of China(11172071)
文摘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.
