scholarly journals Adaptive Sliding Mode Guidance Law with Terminal Angle Constraint

Author(s):  
Kuanqiao Zhang ◽  
Suochang Yang
Author(s):  
Peng Zhang ◽  
Xiaoyu Zhang

This paper introduces a fast fixed-time guidance law with terminal angle constraint for interception of maneuvering targets, which is based on the structure of singularity-free fast terminal sliding mode and the fixed-time stability theory. Different from the finite-time stability, the fixed-time stability can predefine the maximum stabilization time of system states which is independent on the initial value of system states. Under the proposed guidance law, the guidance system can achieve stabilization within settling time which decides by the parameters of controller. In addition, an adaptive law is proposed which alleviate the chattering of sliding mode and smooths the guidance law. Meanwhile, the proof of the sliding mode manifold and system states fixed-time convergence is given by Lyapunov stability theory. Finally, numerical simulations demonstrate the performance of the proposed guidance law is satisfying.


2019 ◽  
Vol 41 (12) ◽  
pp. 3309-3320 ◽  
Author(s):  
Jianguo Guo ◽  
Yifei Li ◽  
Jun Zhou

A novel observer-based continuous adaptive sliding mode guidance (OCASMG) is proposed for homing missiles. First, a new sliding mode guidance law is derived from the nonlinear dynamics describing the pursuit situation of a missile and a target in the two-dimensional space, where a continuous adaptive function is introduced to overcome the chattering problem in sliding mode. Second, to improve the accuracy of target interception, a new nonlinear extended state observer (NESO) is presented to estimate target acceleration and compensate for the sliding mode guidance law. The stability of observer-based closed-loop system is proved by Lyapunov theory. Finally, simulations are conducted on the nonlinear longitudinal missile model and results demonstrate the effectiveness of proposed method.


2013 ◽  
Vol 46 (13) ◽  
pp. 508-513 ◽  
Author(s):  
Kefan Xiao ◽  
Bo Sun ◽  
Weidong Zhang ◽  
Yunze Cai

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