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الرئيسية > Intelligent Hybrid Lateral Con...>الوصف

Intelligent Hybrid Lateral Controller for Autonomous Navigation of Unmanned Aircraft Systems

المصدر: مجلة الدراسات العليا
الناشر: جامعة النيلين - كلية الدراسات العليا
المؤلف الرئيسي: Adam, Ahmed Mohamed Yagoub (Author)
مؤلفين آخرين: Elmaleeh, Mohammed AbdALLA A. (Co-Author) , Mahmoud, Dalia Abdel Moneim (Co-Author)
المجلد/العدد: مج13, ع52
محكمة: نعم
الدولة: السودان
التاريخ الميلادي: 2019
الشهر: مارس
الصفحات: 144 - 160
DOI: 10.33914/1382-013-052-030
ISSN: 1858-6228
رقم MD: 1007029
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: HumanIndex, EduSearch, IslamicInfo, EcoLink
مواضيع:
التحكم الكلاسيكي | الملاحة الجوية | مجال الطائرات
كلمات المؤلف المفتاحية:
Autonomous Guidance and Navigation | Neural Networks | Hybrid Control
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المستخلص: A fully autonomous UAS navigation system requires intelligent adaptive on-board path planning algorithm. The evolution of autonomy in the field of aircraft has enormously emerged to include all the flight phase, takeoff, en route navigation and landing, this paper address the part of guidance and en route navigation of the UAS, in which intelligent guidance and navigation systems is proposed, so that the aircraft can fly autonomously form the location to a given destination using GPS navigation system, tracking a sequence of waypoints. The objective of this work is prove the possibility of developing intelligent navigation system that can handle uncertainties that are related to the aircraft navigation, based on the criteria of the hybrid control, that include integration of the classical control system with neural network controller in a system where first controls the internal attitude if the system and last control the general response of the system with respect to a desired response. Lateral control system has been developed to control the roll attitude and heading of the aircraft, MATLAB and Simulink 3D tool box has been used for simulation and visualization, intelligent tracking algorithm has been developed, and it features the ability of flight path diversion and obstacle avoidance, while the detailed implementation of these two features are discussed explicitly in different related work.
ISSN: 1858-6228

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