基于模糊数据融合的自主式火炮控制策略研究

自主式火炮能够在多变的环境中瞄准目标,并在最短的时间内摧毁目标,实现自身的防御保护,在战场上获得主动权。设计过程中,建立火炮的模型比较容易,但建立环境模型却比较困难,常规控制策略无法解决这些问题,因而,较难达到预期的效果。利用模糊逻辑对来自自主式火炮瞄准仪、姿态传感器和环境传感器数据进行融合,构建高低规则库、方向规则库和耳轴修正数据融合规则库,设计的模糊控制器为火炮在不确定环境下提供控制策略,实现目标跟踪与精确打击,其仿真结果证明了其可行性与有效性。研究结果有利于实现火炮数字化,提高火炮作战能力。

Study on self-determination artillery control strategy based on fuzzy data fusion

Self-determination artillery can successfully aim at and destroy the target in time,and accomplish self-defence in a varied environment characterized by a terrain,then take the initiative in battle.Modeling the artillery is easier,but the environment model is very difficult.Regular control strategy can't solve these problems,so it is difficult to achive the expected results.By using fuzzy logic in data-fusion to realize multi-sensor data-fusion including aiming sight and bearing sensor and environment sensor on the self-determination artillery and construct a high-low rule base,a direction rule base and a trunnion modifying rule base,a fuzzy controller is designed.It provides the control strategy for artillery to make target tracking and accurate shot in uncertain environment.Simulation results demonstrate that the algorithm is feasible and valid.The conclusion can accelerate the realization of artillery digilization and improve the combat ability.