拦截蛇形机动目标考虑自动驾驶仪动态特性的最优制导律

针对目标蛇形机动及导弹自动驾驶仪动态特性对制导精度的不利影响,基于二维制导模型,推导了拦截蛇形机动目标考虑精确自动驾驶仪动态特性最优数值制导律. 设计了蛇形机动目标特性卡尔曼滤波器,分析了该最优数值制导律的具体实现方法. 仿真结果表明,卡尔曼滤波器对蛇形机动目标跟踪性能良好;采用蒙特卡洛仿真技术,证实了该最优数值制导律比已有拦截蛇形机动目标最优制导律制导性能高,能有效降低目标蛇形机动及自动驾驶仪动态特性造成的不利影响. 

Optimal Guidance Law Considering Dynamics of Autopilot for Intercepting Weaving Targets

To deal with the unfavorable effects of target weaving maneuver and dynamics of autopilot on guidance precision, a new optimal guidance law that accounts for the accurate autopilot for homing missiles to intercept the weaving targets has been numerically developed based on the planar missile-target interception model. Kalman filter was designed as a viable approach to engage the weave maneuvering targets. The implementation of the presented guidance strategy has been analyzed. Simulation results confirm the good capability of tracking the weaving targets. It is demonstrated by Monte Carlo simulation technique that the proposed algorithm yields superior performance to existing guidance laws against the weaving targets and it is capable of decreasing the bad effects.