航空学报 > 2008, Vol. 30 Issue (6): 1626-1633

基于MDO技术的飞机操纵面参数/飞行控制律多目标优化设计

张登峰,高金源   

  1. 北京航空航天大学 自动化科学与电气工程学院
  • 收稿日期:2007-09-24 修回日期:2008-01-04 出版日期:2008-11-25 发布日期:2008-11-25
  • 通讯作者: 高金源

Multi-objective Optimization Design of Integral Aircraft Control Effector Parameters and Flight Control Law Based on MDO Technique

Zhang Dengfeng,Gao Jinyuan   

  1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics
  • Received:2007-09-24 Revised:2008-01-04 Online:2008-11-25 Published:2008-11-25
  • Contact: Zhang Dengfeng, Gao Jinyuan

摘要: 为克服多学科可行法存在的缺点,采用响应面近似模型进行系统分析从而减少计算量,并将该方法应用于具有多操纵面布局的无尾无人机多目标优化设计中,解决了操纵面几何参数和全包线飞行控制律的一体化设计问题。利用试验设计方法及径向基神经网络技术,建立了飞机操纵面的气动效益近似模型和控制学科的近似模型;应用所提方法及多目标遗传算法进行优化,得到一组Pareto解;采用模糊决策技术从中选取一个解作为数学规划方法进一步优化的初值点,从而得到最终解。仿真结果表明了所提方法的有效性。

关键词: 多学科设计优化, 操纵面, 飞行控制系统, 响应面, 模糊决策, 多目标优化

Abstract: To overcome the shortcomings of the multidisciplinary feasible method, approximate models based on the response surface method are used in system analysis so as to reduce the amount of computation. This scheme is applied to the multiple objective optimization for a tailless unmanned aerial vehicle with multiple flaps to derive the integral optimal design of the control effectors’geometry parameters and the fullenvelope flight control law. The design of experiment method and radial basis function neural network response surface method are used to set up approximate models for the control effectors’aerodynamic effect and the control discipline. A set of Pareto solvers are obtained by applying the multiple objective genetic algorithm. One solver among them is chosen by applying fuzzy decision technique, which is the start point for further optimization with the mathematical programming method. The simulation result shows that the proposed method is feasible and effective.

Key words: multidisciplinary design optimization, control effector, flight control system, response surface, fuzzy decision, multi-objective optimization

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