Feedback Linearization-Based Guidance with Zero-Dynamics Correction for Guaranteed Interception

TL;DR

This paper introduces a modified guidance law for nonlinear interception that corrects zero-dynamics issues in input-output feedback linearization, ensuring reliable pursuit convergence and improved performance over classical methods.

Contribution

A novel guidance law incorporating zero-dynamics correction within feedback linearization for guaranteed interception success.

Findings

Enhanced convergence reliability in simulations

Reduced miss distance compared to classical guidance laws

Maintained computational simplicity and real-time applicability

Abstract

This paper develops a guidance law for nonlinear interception using input-output feedback linearization (IOL). The engagement between a pursuer and an evader is modeled using point-mass dynamics, and a baseline IOL-based guidance law is constructed by regulating the angular rates of the line-of-sight (LOS) vector. While this approach yields stable input-output behavior, it does not constrain the internal (zero) dynamics of the system, which can result in non-intercepting trajectories despite successful regulation of the LOS rates. To address this limitation, a modified IOL-based guidance law is proposed that incorporates a correction mechanism to enforce convergence of the range. The resulting formulation ensures that LOS alignment corresponds to a closing trajectory, thereby enabling convergence of the pursuer to the evader for a broad class of initial engagement geometries. The proposed method retains the computational simplicity and real-time implementability of feedback linearization while improving closed-loop performance relative to classical guidance laws. Extensive Monte Carlo simulations over a wide range of initial conditions are conducted to evaluate the proposed method. The results demonstrate improved reliability, reduced miss distance, and consistent convergence compared to the baseline IOL and classical proportional navigation.