Fuzzy Logic Controller for Enhancing RCS's Lab Measurements
- https://doi.org/10.2991/amsee-16.2016.63How to use a DOI?
- RCS lab measurements enhancement; fuzzy logic control; multi-input and multi output; nonlinear system; and video guidance
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/amsee-16.2016.63 ID - Galal2016/04 ER -