Fuzzy Logic Controller for Enhancing RCS's Lab Measurements

DOI

10.2991/amsee-16.2016.63How to use a DOI?

Keywords

RCS lab measurements enhancement; fuzzy logic control; multi-input and multi output; nonlinear system; and video guidance

Abstract

Precise and accurate radar cross section (RCS) measurements, especially for tracking small radar cross section targets (e.g. tracks on Fighters), or RCS reduction and radar absorbing materails evaluation for other targets of interest such as aircraft, tanks, or ships, is a must. As a consequence, the need of having more accurate evaluation for the RCS of the targets is required. This paper demonstrates the existing RCS's Lab. Then, discusses the automation of the RCS's antenna holder movements, using fuzzy logic, to have better target tracking while measurement process, in order to suppress the unwanted manmade error. Taking into account the fuzzy nature of human decision making processes and real-time properties, this paper has established different fuzzy controllers then tested and compared with a crisp decision system. The first one has been developed using an expert knowledge, the second one was learned from the recorded videos.

Copyright

© 2016, 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  - Mohamed Galal
AU  - Jianyu Wang
PY  - 2016/04
DA  - 2016/04
TI  - Fuzzy Logic Controller for Enhancing RCS's Lab Measurements
BT  - Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering
PB  - Atlantis Press
SP  - 236
EP  - 240
SN  - 2352-5401
UR  - https://doi.org/10.2991/amsee-16.2016.63
DO  - 10.2991/amsee-16.2016.63
ID  - Galal2016/04
ER  -