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العنوان
Anti-Stealth Technology for Safe piloting of Unmanned Aerial Vehicles /
المؤلف
El Diwiny, Marwa Mohammed Alaa El Dean Mohammed Ibrhaim Salah.
هيئة الاعداد
باحث / مروه محمد علاء الدين محمد ابراهيم صالح الدويني
مشرف / جمال الدين علي أبو المجد
مشرف / ابوهشيمه مصطفي السيد
مشرف / السيد عبد الحميد محمود حسنين
الموضوع
Drone aircraft - Control systems.
تاريخ النشر
2015.
عدد الصفحات
280 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/2015
مكان الإجازة
جامعة المنيا - كلية الهندسه - الهندسة الكهربية
الفهرس
Only 14 pages are availabe for public view

from 285

from 285

Abstract

This research has explained that methods exist for the detection of low observable aircraft, however current technologies do not guarantee 100% success rate. Radar screens display aircraft according to the aircraft’s radar cross section, which is directly related to its size. Conventional air crafts are visible on a radar screen due to their large dimensions. In contrast, a stealth aircraft shows on a radar screen as no more than a large bird. Therefore, the stealth aircraft is ignored by the radar operator and remains undetected. Stealth aircraft can be detected by triangulation of its location using a network of radar systems. It has suggested that for the evaluationof anti-stealthtechnology, the stealth techniques used by low observable aircraft must be light. A new method of detecting low observable aircraft consistsof using Non lethal ND YAG laser 532nm.This research proposes an approach that entails increasing the electric permittivitywhich leads to augmented material impedance; consequently, the reflection coefficientincreases, thus decreasing wave attenuation. EM3500 wave absorber Holland Shieldingused for the experimental work, which its optical properties exhibit stealth characteristicswith absorption coe_cient 3:61566 and reectioncoe_cient 0:041 at wavelength300nm and frequency 1MHz. Enhancing EM3500 wave absorber’s relative electricpermittivity and decreasing its loss tangent is achieved by using non lethal ND YAG532nm, impedance analyseragilent is used for measuring treated EM3500 wave absorberrelative electric permittivity and loss tangent, test results show increasing inEM3500 its electric permittivity with percentage 11:5% at frequency band 1MHz and5:5%at 3GHz , decreasing its loss tangent with percentage 27:7%at 1MHz and 7:5% at 3GHz.Novel airborne anti-stealth technology is proposed for countering radar absorbentmaterial stealthy aircraft. This is achieved through enhancing material electric permittivity. The research aims to implement anti-stealth technique in an invisible dynamic environment where the structure of offensive target is uncertain. The surface of unmanned aerial vehicles (UAV) can be covered with laser beam _ring angle as a function of the UAVs dimensions. The underlying principle involves laser beams creating symmetric geometries transverse to the aircraft that are the expected dimensions of the offensive stealth target. The work accuracy of the system is determined by using mathematical modeling of the laser beam _ring angle and proposing creating intelligent shapes that emulates the expected dimensions of stealth target. In this research, The control scheme used for achieving fast response and high accuracy is Brain emotional learning Based Intelligent Controller(BELBIC) that mimics the limbic system of the human brain. This controller is applied indirectly for enhancing laser beam steering controller response and directly for synchronization between laser beam steering angle and extended kalman filter tracker. For enhancing BELBIC controller parameters, thegenetic algorithm is used. A proposed double BELBIC controller shows an excellent results ranges from very fast response(zero rise time), zero overshoot and high accuracyrather than BELBIC controller. It is also noticed that the effective parts of BELBICcontroller are reward function which is a function of plant error and Thalamus signal.The empirical work is achieved at National Research Center(NRC) and CentralMetallurgical Research Development Institute(CMRDI). The other part of the research handles the potential application for brain computer interface for Anti-Stealth technology. The proposed application uses normalized EEG signal as secure communication between stealth UAV and ground-station. The recorded electroencephalography signals from Emotive EEG headset, the data is sampled at 128Hz and analysed by EEGLAB MATLAB. The energy of the recorded signalsis calculated and normalized to form the encryption key required for the proposed application.