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我们根据分析得到对付智能机动目标的真比例导航(TPN)导弹制导法则的捕获区。考虑两种TPN方案。第一种是原始的TPN,假设指令制导的侧向加速度只与瞄准线(LOS)速率成正比,比例因子是一个任意常数或仅仅依赖于初始接近速度。另一种叫作RTPN(现实的TPN),它假设控制的侧向加速度与LOS速率成正比,并且也与当前接近速度成正比。假设目标以增加LOS速率的方式机动并因此与取消LOS速率的比例导航(PN)基本原理正好相反。为原始TPN导出了捕获的必要和充分条件,并利用这种条件获得了精确的捕获区。为RTPN导出了捕获的充分条件并用来得到它的部分捕获区。对于RTPN也导出了捕获的某些必要条件并且用来得到它的最大捕获区。利用这些条件,给出现有捕获区的某些重要结果和TPN法则的捕获可能性比较研究。
According to the analysis, we obtain the capture area of True Proportional Navigation (TPN) missile guidance law to deal with intelligent maneuvering targets. Consider two TPN scenarios. The first is the original TPN. Assuming that the lateral velocity of the command guidance is only proportional to the line-of-sight (LOS) rate, the scale factor is an arbitrary constant or just depends on the initial approach velocity. The other, called RTPN (realistic TPN), assumes that the controlled lateral acceleration is proportional to the LOS rate and is also proportional to the current approach speed. Assuming that the target maneuvers in such a way as to increase the LOS rate and therefore the exact opposite of the principle of proportional navigation (PN) that cancels the LOS rate. The necessary and sufficient conditions for the capture are derived for the original TPN and an accurate capture zone is obtained using this condition. The sufficient conditions for the capture are derived for RTPN and used to derive some of its capture regions. The RTPN also derives some of the conditions necessary for the capture and is used to derive its maximum capture area. Using these conditions, a comparative study of some important results of existing capture zones and the capture probabilities of the TPN rule is given.