融合临近空间环境参数的高超飞行器爬升指令优化方法  

Climb Command Optimization Method for Hyper-aircraft Based on Near Space Environment Parameters

作　　者：吉晓亮 陈柏屹 刘燕斌 JI Xiaoliang;CHEN Boyi;LIU Yanbin(School of Astronautics,Nanjing University of Aeronautics and Astronautics,Nanjing 211106)

机构地区：[1]南京航空航天大学航天学院,南京211106

出　　处：《舰船电子工程》2023年第12期50-55,共6页Ship Electronic Engineering

摘　　要：针对高超声速飞行器爬升时受大气扰动的问题,重点考虑大气密度的扰动,提出了一种融合临近空间环境参数的飞行器爬升指令优化方法。首先,引入实测数据预测模型的思想,将Kolmogorov-Smirnov参数校准方法与遗传算法相结合,得出大气密度预测模型。然后,建立爬升指令优化模型,运用高斯伪谱法和序列二次规划(Sequential Quadratic Programming,SQP)求解最优控制问题。最后,以吸气式高超声速飞行器定动压爬升为例,仿真结果表明:该方法能快速准确求解大气扰动下的吸气式高超声速飞行器爬升指令优化问题,能够满足相关的要求,具有一定的应用价值。Aiming at the problem of atmospheric disturbance during the climb of hypersonic aircraft,focusing on the distur⁃bance of atmospheric density,a vehicle climb command optimization method based on the parameters of the adjacent space environ⁃ment is proposed.Firstly,the idea of forecasting model based on measured data is introduced,and the Kolmogorov-Smirnov parame⁃ter calibration method is combined with genetic algorithm to obtain an atmospheric density forecasting model.Then,the optimization model of climb command is established,and the optimal control problem is solved by using Gaussian pseudospectral method and Se⁃quential Quadratic Programming(SQP).Finally,taking the constant pressure climb of air-breathing hypersonic aircraft as an exam⁃ple,the simulation results show that this method can quickly and accurately solve the optimization problem of aspirating hypersonic aircraft climb command under atmospheric disturbance,which can meet the relevant requirements and has certain application value.

关 键 词：高超声速飞行器 指令优化 Kolmogorov-Smirnov参数校准方法 高斯伪谱法 序列二次规划 

分 类 号：O141.4[理学—数学]