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رسائل ماجيستير الانجليزية 2015 fe82bcfc-28d9-47f4-895e-cded2b9a7758

Auto Takeoff and Precision Landing using Integrated GPS/INS/Optical Flow Solution

Mohammad Amin Al-Jarrah, Mohammad Khaled Salameh Al-Sharman

كلية الهندسة-الجامعة الأمريكية - الشارقة · الامارات

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Auto takeoff and landing has been considered as the most challenging part in performing a flight with a high degree of autonomy. Hence, many researchers have addressed the problem of developing a precise auto takeoff and landing system for unmanned miniature helicopters. The work on enhancing autonomous takeoff and landing for unmanned aerial vehicles can be categorized into two groups. The first group works on designing a robust control algorithm in which the controller performs auto takeoff and auto landing. The second group focuses on utilizing sensors with high accuracy to get accurate state measurements. As a result, the performance of both the estimator and the controller would be improved. The present research addresses the use of optical flow sensors to augment the Global Positioning System/ Inertial measurement unit (GPS/INS) solution in the terminal phases of the flight (i.e., takeoff and landing). The GPS/INS unit has an internal estimator to estimate the vehicle's state vector which is not accurate enough to perform precision landing. The GPS/INS estimated position using Commercial-Off-The-Shelf COTS components is inaccurate with a few meters error, which is called the radius of uncertainty (ROU). To perform a precise landing, an optical flow sensor is used to augment the GPS/INS readout while performing the takeoff and landing phases of the flight. In this research, we use a sensor fusion algorithm between the optical flow sensor measurements of the location of a predefined pattern within the ROU of the GPS/INS and the GPS/INS location measurements. This estimator is used to output the helicopter's position and velocity during takeoff and landing. The proposed estimator has succeeded in performing an auto takeoff with a maximum error of 0.26 m and a precise landing with a maximum error of 0.27 m in Z-position. The novelty in this study is in the use of GPS/INS/Optical Flow fusion algorithm to perform a precise auto takeoff and landing for a small-scale helicopter. In addition, an accurate model for the OF sensor is used for developing the control laws for autonomous takeoff and landing for Vertical takeoff and landing vehicles (VTOL).

التعريف والنوع

رقم الوثيقة
fe82bcfc-28d9-47f4-895e-cded2b9a7758
رقم العقد
0
نوع الوسائط
Crawler
نوع المحتوى
الرسائل العلمية
صيغة المصدر
رسائل ماجيستير
نوع الملف
pdf text
أسماء الملفات
45918_1.pdf

بيانات النشر

ألقاب المؤلفين
[{"name_ar":" Mohammad Amin Al-Jarrah","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Mohammad Khaled Salameh Al-Sharman","title_ar":"اعداد","title_en":"Preparation"}]
اللغة
English

المصدر والدورية

اسم المصدر
Auto Takeoff and Precision Landing using Integrated GPS/INS/Optical Flow Solution

المحتوى والصفحات

عدد الصفحات
0

إشراف وإعداد

الإشراف
Mohammad Amin Al-Jarrah
الإعداد
Mohammad Khaled Salameh Al-Sharman

الاقتباسات الببليوغرافية

APA

Mohammad Amin Al-Jarrah و Mohammad Khaled Salameh Al-Sharman. (2015). Auto Takeoff and Precision Landing using Integrated GPS/INS/Optical Flow Solution. أطروحة(رسائل ماجيستير). كلية الهندسة-الجامعة الأمريكية - الشارقة. الامارات .

MLA

Mohammad Amin Al-Jarrah و Mohammad Khaled Salameh Al-Sharman. Auto Takeoff and Precision Landing using Integrated GPS/INS/Optical Flow Solution. 2015. كلية الهندسة-الجامعة الأمريكية - الشارقة، رسائل ماجيستير.