Strictly Finite‐Time‐Convergent Missile Guidance Law Based on Adaptive‐Gain Observer

Abstract

In the absence of the upper bound of time-varying target acceleration, the finite-time-convergent guidance (FTCG) problem for missile is addressed in this paper. Firstly, a novel adaptive finite-time disturbance observer (AFDO) is developed based on adaptive-gain super twisting (ASTW) algorithm to estimate the unknown target acceleration. Subsequently, a new FTCG law is proposed by using the output of AFDO. The newly proposed FTCG law has several advantages over existing FTCG laws. First, for time-varying target acceleration, the proposed method can strictly guarantee the trajectory of the closed-loop system is driven onto the sliding surface rather than a neighbourhood of sliding surface in the extended-state-observer-based FTCG (ESOFTCG) law. Second, the proposed method requires no upper bound information on the target acceleration. Third, the chattering problem in the conventional FTCG (CFTCG) law is completely avoided in this paper. Simulation result demonstrates the effectiveness of the proposed AFDO and the proposed FTCG law.

Three-dimensional suboptimal guidance law based on θ – D technique and nonlinear disturbance observer

“…And the 3D guidance law can be obtained by combining the two planar guidance laws directly. [4][5][6][7] Based on this kind of approximate process, some optimal guidance laws based on the PN are developed. An optimal guidance law is developed in Yuan and Tan 8 based on the traditional PN for both nonmaneuvering and maneuvering targets.…”