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<p>The Command to Line-of-Sight (CLOS) guidance law leads to miss distance when dealing with high-speed targets. This error occurs due to actuator saturation. This paper focuses on reducing this error using an approach based on the Generalized Predictive Control (GPC) method. In the conventional line-of-sight guidance method, the guidance law attempts to always keep the pursuer in the target’s line of sight. In contrast, it is sufficient for the pursuer to be in the line of sight only in the vicinity of the target for interception. This paper implements the idea of using GPC control with a variable prediction horizon and estimating the final collision time. For this purpose, the discrete-time state-space equations of engagement geometry are derived, and the guidance law is designed based on GPC. The proposed method is evaluated by comparing it with the CLOS method using nonlinear engagement geometry simulation. The robustness of the proposed method to variations in pursuer speed and maneuvered target is demonstrated.</p>

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Line-of-Sight Guidance Law Based on GPC with Variable Prediction Horizon

  • 期刊论文

  • 发表日期：

    2025年9月15日

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  • Ahmad Nasiri Avanaki,
  • Mohammad Reza Arvan,
  • Yousef Koohmaskan,
  • Seyed Hosein Mirbagheri

摘要

The Command to Line-of-Sight (CLOS) guidance law leads to miss distance when dealing with high-speed targets. This error occurs due to actuator saturation. This paper focuses on reducing this error using an approach based on the Generalized Predictive Control (GPC) method. In the conventional line-of-sight guidance method, the guidance law attempts to always keep the pursuer in the target’s line of sight. In contrast, it is sufficient for the pursuer to be in the line of sight only in the vicinity of the target for interception. This paper implements the idea of using GPC control with a variable prediction horizon and estimating the final collision time. For this purpose, the discrete-time state-space equations of engagement geometry are derived, and the guidance law is designed based on GPC. The proposed method is evaluated by comparing it with the CLOS method using nonlinear engagement geometry simulation. The robustness of the proposed method to variations in pursuer speed and maneuvered target is demonstrated.