Browsing by Author "Ahmed Mohamed Yagoub Adam"

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Design and Control of an Autonomous Unmanned Aircraft System
(Al-Neelain University, 2019 - 04) Ahmed Mohamed Yagoub Adam
V____ Abstract Substantial progress has been made recently towards the design, control and deployment of Autonomous unmanned aircraft systems (AUAS). The objective of this thesis seeks to complement this progress by providing a platform to the autonomous and intelligent ﬂight control systems of the unmanned aircrafts, henceforth they can be integrated into national airspaces for more civil applications. The thesis hypothesizes a full autonomous ﬂight control system that includes takeoff, en-route navigation and landing based on a new hybrid control technique. The hybrid control is a combination of different control techniques, conventional closed-loop control, PID control, model predictive control (MPC), adaptive control and Neural Network. Initially the longitudinal controller was proposed. It included three autopilots: the speed control autopilot, the pitch orientation autopilot and altitude autopilot using (PID, l\/[PC and Neural Network) techniques respectively. The hybrid intelligent longitudinal controller was simulated and tested successfully. The PlD controller has shown a signiﬁcant response in compensating the errors that are related to the control surface actuators (rise time 0.ls, settling time l.8s overshot 5.5%), while the neural controller was a very robust in the control of the overall response of the system. Then the lateral was proposed based on the criteria of the hybrid control that include integration of the classical control system with neural network controller and a new guidance system was designed. Also an auto-landing controller using fuzzy controller and Neuro-adaptive controller was proposed to provide the vertical and horizontal guidance to the aircraﬂ for landing approach phase. Many ﬂight tests were carried for different ﬂight conditions and the result were signiﬁcant for the control of AUAS.
Intelligent hybrid Lateral Controller for Autonomous Navigation of Unmanned Aircraft Systems
(2019-03) Ahmed Mohamed Yagoub Adam; Mohammed AbdALLA A. Elmaleeh; Dalia Mahmoud
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. Keywords: UAS, Autonomous Guidance and Navigation, Neural networks, Hybrid Control.
Intelligent Hybrid Longitudinal Controller for Autonomous Unmanned Aircraft Systems
(2018-12-15) Ahmed Mohamed Yagoub Adam; Mohammed AbdALLA A. Elmaleeh; Dalia Mahmoud