Adaptive Command-to-Line-of-Sight Guidance Using Feedback Linearization
Bui Quoc Hung*1
Abstract
This paper presents an adaptive Command-to-Line-of-Sight (CLOS) guidance law based on feedback linearization for improving missile guidance performance against maneuvering targets. Conventional CLOS guidance algorithms often experience performance degradation in the presence of nonlinear missile dynamics, model uncertainties, and target evasive maneuvers. To address these limitations, the proposed method employs feedback linearization to transform the nonlinear missile-target engagement dynamics into an equivalent linear system, enabling the application of linear control techniques while preserving system stability. An adaptive control mechanism is incorporated to compensate for unknown aerodynamic parameter variations and external disturbances in real time. The resulting guidance law ensures accurate line-of-sight tracking, enhanced robustness, and reduced miss distance without requiring precise knowledge of the missile dynamics. Numerical simulations under various engagement scenarios, including high-speed maneuvering targets and parameter uncertainties, demonstrate that the proposed approach consistently outperforms the conventional CLOS guidance law in terms of tracking accuracy, control smoothness, convergence speed, and interception precision. The results indicate that the integration of feedback linearization with adaptive control provides an effective and computationally efficient guidance strategy suitable for modern missile systems operating in highly dynamic environments.
Keywords:
Command-to-Line-of-Sight (CLOS), adaptive guidance, feedback linearization, nonlinear control, missile guidance, maneuvering targets, robust control.
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