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对用于尖楔前体飞行器的嵌入式大气数据传感系统(Flush Air Data Sensing System,FADS)的不同攻角求解方案(FADS-α)的精度进行研究.对比分析了某尖楔前体飞行器FADS系统的三种攻角实现方案的精度及可行性:(1)将尖楔前缘作为小钝头处理,采用经典的三点式算法建立FADS系统的攻角求解方法;(2)基于压缩波-压缩波理论及膨胀波-压缩波理论建立了FADS系统的理论模型,并发展了相关的迭代算法验证模型的精度及可靠性,建立了FADS系统的攻角实现方案;(3)利用BP神经网络代替FADS系统空气动力学模型的方法,建立了FADS系统的攻角实现方案.针对尖楔前体飞行器FADS系统的特点,设计了一个具有双隐含层的神经网络模型,并对模型的精度进行了验证.结果表明,3种求解方案精度都能满足实际需求.但是方案(1)工程实现困难,方案(2),(3)建立的针对尖楔前体飞行器的FADS系统的求解方案易于实现,且方案(2)的精度优于方案(3).
(FADS-α) solution of Flush Air Data Sensing System (FADS) for tip-wedge precursors was studied.A comparative analysis of the accuracy of a pointed wedge precursor vehicle The accuracy and feasibility of three kinds of attack angles of FADS system are achieved: (1) The tip of the wedge is treated as a small blunt, and a classical three-point algorithm is used to establish the attack angle solving method of the FADS system; (2) Compression wave theory and expansion wave-compression wave theory are used to establish the theoretical model of FADS system, and the related iterative algorithm is developed to verify the accuracy and reliability of the model. The scheme of attack angle of FADS system is established. (3) By using BP neural network In order to replace the aerodynamic model of FADS system, a scheme of attack angle of FADS system is established.According to the characteristics of FADS system of pointed wedge precursors, a neural network model with double hidden layers is designed and its accuracy is evaluated The results show that the accuracy of the three solutions can meet the actual demand.But the solution of the project (1) is difficult to implement, and the solution of the FADS system for the pointed wedge precursor aircraft established in the solutions (2) and (3) Now, the program and (2) the accuracy of better than Scheme (3).