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以飞行员惯常使用的基本战术机动动作为对象,展开了对空对地攻击中武器投放过程的规划研究。采用有限状态机模型对典型的战术机动动作进行了建模,实现了对机动过程中飞行模态的准确控制。针对规划求解困难的问题,设计了基于人工免疫系统的规划算法框架,利用生物免疫系统的优良机理,提高了规划求解的速度,避免了规划解的局部收敛。仿真实验表明,规划算法求解速度较快,规划出的机动序列衔接较好,轨迹的各种战术指标符合任务要求。
Based on the basic tactical maneuvers commonly used by pilots, the planning study on the process of weapon deployment in the air-to-ground attack was launched. The finite-state machine model is used to model the typical tactical maneuver, which realizes the accurate control of the maneuvering flight mode. In order to solve the problem of programming difficulty, an algorithm framework based on artificial immune system is designed. By using the excellent mechanism of biological immune system, the speed of solving the problem is improved and the local convergence of the solution is avoided. The simulation results show that the planning algorithm is fast and the planned maneuver sequence is well connected, and the various tactical indexes of the trajectory meet the mission requirements.