Design of Overload Control for Target Missiles Based on Robust Adaptive Terminal Sliding-mode Control

DOI

10.2991/iwmecs-15.2015.23How to use a DOI?

Keywords

robust adaptive control; terminal sliding-mode control; neural network; overload control

Abstract

Backstepping design, neural network technology, robust adaptive control and terminal sliding-mode control is combined. Firstly, neural networks are used to estimate the virtual control laws of the controlled system. Secondly, terminal sliding-mode control is utilized to improve the convergence speed and robustness of the controlled plant. Thirdly, robust adaptive control method is employed to estimate the unknown upper boundary of uncertainties. Lastly, backstepping design is incorporated to design the virtual control laws and actual control law of the controlled system. Based on Lyapunov stability theorem, all of error signals are bounded and exponentially converge to a bound neighbor of the origin. Simulation results show the effectiveness of the proposed control method.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kai-bo Bi
AU  - Yi-fei Zhang
AU  - Xian-hui Sui
PY  - 2015/10
DA  - 2015/10
TI  - Design of Overload Control for Target Missiles Based on Robust Adaptive Terminal Sliding-mode Control
BT  - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
PB  - Atlantis Press
SP  - 116
EP  - 123
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-15.2015.23
DO  - 10.2991/iwmecs-15.2015.23
ID  - Bi2015/10
ER  -