基于改进遗传算法的最优战术机动控制模型

Optimal Tactical Maneuvering Control Model Based on Modified Genetic Algorithm

针对典型战术机动动作自主控制与轨迹生成问题,提出了表征机动动作特性的关键点,建立了综合考虑关键点标准状态超出量、操纵剧烈程度和临界状态超出量的性能指标目标函数,构建了以各关键点作为约束的最优战术机动控制模型。根据控制量变化率将机动动作划分成若干轨迹片段,使用改进的自适应遗传算法对最优战术机动控制模型进行求解,得到一组最优控制量变化率序列,从而生成机动动作轨迹。最后以斤斗机动动作为例进行了仿真分析,得到了最优控制量变化率序列,生成了相应的战术机动动作,验证了本方法的可行性。

Aiming at the problems of autonomous control of typical tactical maneuvering and trajectory generation,the key points which characterized the maneuvering were put forward and the performance index function are established,which took into account excessive amount of standard state of the key points,the intensity of manipulation and excessive amount of critical state.The optimal tactical maneuvering control model in which several key points are set to be the constraint is constructed.According to the change rate of control,maneuvers are divided into several trajectory segments.The modified adaptive genetic algorithm is used to solve the optimal tactical maneuvering control model to gain a set of optimal sequence of the change rate of control,thereby,the maneuvering trajectory is generated.At last,the loop maneuver is taken for example and simulated for analysis.Consequently,the optimal sequence of the change rate of control is gained and the corresponding tactical maneuvering was generated.The feasibility of this method was verified.