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العنوان
Performance enhancement of magnetic sensor in smart guidance technologies using radar rays /
المؤلف
Faiad,Youssef Ibrahim Hossin Ali.
الموضوع
Radar Rays.
تاريخ النشر
2010 .
عدد الصفحات
i-ix+76 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
مكان الإجازة
جامعة الاسكندريه - كلية الهندسة - Electrical engineering
الفهرس
Only 14 pages are availabe for public view

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from 98

Abstract

Current advances in guidance technology have brought a push to develop smart gun launched weapons. Several development programs in progress attempting are attempting to perform guidance, navigation and control on a projectile. Looking for methods of guiding munitions would allow the military to employ guided munitions in place of traditional munitions. This will give an edge on the battlefield and also allow the use of munitions in areas where traditional mortars and artillery cannot be used. Smart weapons promise to provide leap-ahead capability with regard to accuracy and engagement range for medium and large caliber projectiles. Typically, smart weapons have two units; the guidance unit and the control unit. The guidance unit consists of a sensor which senses energy originating from the source or target destination and provides position, orientation, and velocity information as the projectile flies down range so that effective control action can be taken in flight. The control unit controls the flight of the projectile from the source to the
target.
This thesis investigates a novel concept for determining the full state of a projectile near the muzzle of the gun. The methodology relies on the gun system inducing a known spatially varying magnetic field in the vicinity of the muzzle of the gun. Using readings from a cluster of magnetometers embedded within the projectile, the Twelve Degrees Of Freedom l2-DOF of the projectile is determined by solving a nonlinear set of equations using Maple simulation programs. The estimated results of the model have a good agreement compared with the actual calculated data obtained from the magnetic field components of the sensor. The results of the estimation are highly dependent upon the data burst period and the number of sensors. It was found that when the number of sensors increases, the final error decreases but errors due to nonlinearities start to set in if the data burst period is increased beyond a certain length. Finally, the model methodology works extremely well and the magnetometer sensor performance has been enhanced for smart gun
launched weapons.