Homing guidance requires maintaining the target lock-on condition within the seeker’s field of view (FOV). This paper aims at developing a unified FOV-limited guidance framework from which a variety of two-dimensional (2D) and three-dimensional (3D) guidance laws can be derived. First, the unified method for 2D homing guidance is established by augmenting an arbitrary baseline guidance law with a biased command. To mitigate the effect on the baseline guidance law, this biased command is designed in the admissible range that respects the FOV limit and only takes effect when the lead angle approaches the FOV bound. For more practical relevance, the autopilot dynamic of any order is further considered explicitly in the design with a recursive approach. Then, the unified method for 3D homing guidance with coupling nonlinearity is developed by exploiting the geometric relation among space angles. Unlike existing similar results, the proposed design requires neither switch logic nor numerical algorithms, which allows for continuous guidance command and convenient implementation. With the proposed method, various illustrative guidance laws are derived to demonstrate the significance of the unified framework. Finally, numerical simulations with comparative study are conducted to support the analytical findings and show the superiority of the proposed method.

寻的引导需要在导引头的视野 (FOV) 内保持目标锁定条件。本文旨在开发一个统一的 FOV 限制制导框架，从中可以推导出各种二维 (2D) 和三维 (3D) 制导定律。首先，通过用有偏差的命令增强任意基线制导律来建立二维制导的统一方法。为了减轻对基线制导法则的影响，这个有偏差的命令被设计在尊重 FOV 限制的允许范围内，并且仅在超前角接近 FOV 界限时生效。为了更实际的相关性，任何订单的自动驾驶动态都在设计中使用递归方法进一步明确考虑。然后，利用空间角之间的几何关系，开发了具有耦合非线性的3D归位制导统一方法。与现有的类似结果不同，所提出的设计既不需要切换逻辑也不需要数值算法，这允许连续的引导命令和方便的实施。使用所提出的方法，导出了各种说明性的指导定律，以证明统一框架的重要性。最后，进行了数值模拟和比较研究，以支持分析结果并显示所提出方法的优越性。使用所提出的方法，导出了各种说明性的指导定律，以证明统一框架的重要性。最后，进行了数值模拟和比较研究，以支持分析结果并显示所提出方法的优越性。使用所提出的方法，导出了各种说明性的指导定律，以证明统一框架的重要性。最后，进行了数值模拟和比较研究，以支持分析结果并显示所提出方法的优越性。