摘要
针对战术机动动作建模与轨迹生成问题,构建了实现UCAV空战机动动作的模型结构;综合考虑飞行包线、状态参量等实际约束条件,建立了精细的UCAV质点运动动力学模型;以控制量变化率为优化对象,对机动轨迹最优控制问题进行了建模;运用基于自适应策略的遗传改进算法对最优控制问题进行快速求解,得到了优化的控制量变化率,并根据运动动力学模型求解得到机动轨迹及具体飞行参数。最后以斤斗机动动作为例进行了仿真验证,结果表明:建立的模型可以准确而完备地表征多约束条件下的机动动作特征,改进的最优控制问题求解策略能够快速计算得到优化的控制量变化率,生成的轨迹符合机动动作的几何形态与状态特性。
Aiming at the problem of tactical maneuvering modeling and trajectory generation,the paper built the model structure which could realize maneuvering action of UCAV air combat;considering practical constraints such as flight envelope and the state parameters,established a fine particle UCAV mass point motion dynamics model;the optimal control problem of maneuvering trajectory was modeled by optimizing the control rate;using the improved genetic algorithm of adaptive strategy to quickly solve the optimal control problem,obtained the optimized variation rate of control,and the specific flight parameters of the maneuvering trajectory were obtained according to the motion dynamics model.Finally,the simulation was verified by the case of the loop maneuver,the simulation results shows that the established model can accurately and completely characterize the characteristics of maneuvering under the multiple constraints condition,the improved optimal control problem solving strategy can quickly calculate the optimal change rate of control quantity,the generated trajectory conforms to the geometric and state characteristics of the maneuvering action.
作者
王杰
丁达理
董康生
库硕
WANG Jie;DING Da-li;DONG Kang-sheng;KU Shuo(School of Aeronautics and Astronautics Engineering,Air Force Engineering University,Xi'an 710038,China)
出处
《火力与指挥控制》
CSCD
北大核心
2018年第12期42-49,共8页
Fire Control & Command Control
基金
国家自然科学基金资助项目(61601505)
