Application of Particle Swarm Optimization Algorithm in Test Points Selection of Radar Antenna Servo System

DOI

10.2991/icimm-15.2015.178How to use a DOI?

Keywords

particle swarm optimization; test points selection; radar system; antenna servo system

Abstract

To solve the problem that many test points are needed in radar antenna servo system when fault diagnosis is needed for this system, a new test points selection method based on Particle Swarm Optimization algorithm is researched. Test points selection is a many-target optimization problem which could easily get into local optimum value. To avoid this problem, target optimization function is constructed based on different fault modes and different fault position. The particles are constrained into a large area and the real-time particle update mode is used to make sure that the optimum value is not a local maximum or minimum value. The effectiveness of this method is validated by a simulation experiment.Equation Chapter 1 Section 1

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  - Ning Han
AU  - Guoqing Wu
AU  - Mingfei Xia
AU  - Xiaocong Wang
PY  - 2015/07
DA  - 2015/07
TI  - Application of Particle Swarm Optimization Algorithm in Test Points Selection of Radar Antenna Servo System
BT  - Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 978
EP  - 982
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-15.2015.178
DO  - 10.2991/icimm-15.2015.178
ID  - Han2015/07
ER  -