Strictly Finite-Time-Convergent Missile Guidance Law Based on Adaptive-Gain Observer
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhou, Jun& Wang, Yang. 2017. Strictly Finite-Time-Convergent Missile Guidance Law Based on Adaptive-Gain Observer. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190310
Modern Language Association (MLA)
Zhou, Jun& Wang, Yang. Strictly Finite-Time-Convergent Missile Guidance Law Based on Adaptive-Gain Observer. Mathematical Problems in Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1190310
American Medical Association (AMA)
Zhou, Jun& Wang, Yang. Strictly Finite-Time-Convergent Missile Guidance Law Based on Adaptive-Gain Observer. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190310
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190310