Searched for: mods_note_programme_s%3A%22Aerospace%255C%2BEngineering%255C%2B%257C%255C%2BControl%255C%2B%2526%255C%2BSimulation%22
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Mckenzie, Max (author)
Haptic shared controllers (HSCs) are a promising solution to prevent human over-reliance on automation during tasks such as car driving. However, research has shown that if the HSC is tuned incorrectly, then there is a risk of haptic conflicts between the human and HSC. To address this challenge, this paper presents the design and implementation...
master thesis 2024
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Jadoenathmisier, Anish (author)
Aerial manipulators, characterized by their ability to actively engage with the environment, are gaining popularity for their versatility in performing diverse tasks.<br/>This research focuses on augmenting the capabilities of aerial manipulators through the integration of tactile feedback, specifically employing a compliant bio-inspired three...
master thesis 2023
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Liu, Huamin (author)
The transportation of payloads utilizing multiple drones presents a promising application for lifting heavier loads that exceed the payload capacity of a single drone. However, the cable-suspended payload introduces significant challenges to the system, and this research area remains relatively unexplored. In this work, a novel solution for...
master thesis 2023
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Ortiz Moya, Álvaro (author)
The identification of time-varying, adaptive behaviour of a human operator in basic manual control tasks is undoubtedly under development since most methodologies only account for time-invariant systems. Previous authors have proved that estimation techniques based on ARX structures can generally identify the HO model parameters. Nonetheless,...
master thesis 2023
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Hummel, Jesse (author)
Power output during flight operation of multi-megawatt airborne wind energy systems is substantially affected by the mass of the airborne subsystem, resulting in power fluctuations. In this paper, an approach to control the tether force using the airborne subsystem is presented that improves the quality of the power output. This kite tether...
master thesis 2023
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Tzanetos Alevras, Tzortzis (author)
This research presents a comprehensive modeling approach for the flight dynamics of a hybrid compound helicopter, employing classical mechanics methods. The derived non-linear mathematical model encompasses the individual components of the aircraft, including the rotor, propellers, wings, fuselage, and empennage, which are then integrated into a...
master thesis 2023
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Rado, Karlo (author)
A key challenge for SaR robotics is to avoid dynamic obstacles in cluttered environments, with limited and noisy information. In this research, a controller for SaR robots is developed by coupling a local heuristic motion planner with a model predictive control (MPC) based trajectory tracker. Constraint tightening and tube-based control are used...
master thesis 2023
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van den Eijkel, Simon (author)
This study investigated the effect of manual and autopilot control on hazard and failure detection in aviation, in cases where the autopilot can masks or diminishes cues of aircraft movement. This mechanism could result in loss of situation awareness, upsets and ultimately accidents. Twenty airline pilots participated in an experiment in which...
master thesis 2023
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Sarkar, Mayukh (author)
Glaucoma impacts vision by affecting visual processing at the retinal ganglion cell level. To recreate its impact on visual processing, photobleaching has been proposed to reversibly and temporarily induce glaucoma-like saccadic reaction time. It has been established that photobleaching elevates the threshold detection levels of visual stimuli...
master thesis 2023
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Blaha, Till (author)
An effective distribution of flight control commands over many aircraft actuators (engines, control surfaces, flaps, etc.) can be achieved with constrained optimisation. Active-Set methods solve these problems efficiently, but their computational time requirements are still prohibitive for aircraft with many actuators or slower digital flight...
master thesis 2023
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Gavra, Vlad (author)
Recent research in bio-inspired artificial intelligence potentially provides solutions to the challenging problem of designing fault-tolerant and robust flight control systems. The current work proposes SERL, a novel Safety-informed Evolutionary Reinforcement Learning algorithm, which combines Deep Reinforcement Learning (DRL) and neuro...
master thesis 2023
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Barbera, Matteo (author)
Flying-wings show great potential for a vast number of applications, in both commercial and military sectors, thanks to their long range and fast forward flight, but suffer due to their lack of vertical take-off and landing capabilities. This paper presents a proof of concept for a novel landing method for a conventional flying wing that does...
master thesis 2022
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Liu, Changrui (author)
Relative localization (RL) is essential for the successful operation of micro air vehicle (MAV) swarms. Achieving accurate 3-D RL in infrastructure-free and GPS-denied environments with only distance information is a challenging problem that has not been satisfactorily solved. In this work, based on the range-based peer-to-peer RL using the...
master thesis 2022
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Rowntree, Timon (author)
For future operations of unmanned aviation, even higher traffic densities than previously seen in manned aviation are expected. Previous work has shown that a vertically layered airspace design performs best at improving safety metrics such as the total number of conflicts and Losses of Separation (LoSs). Furthermore, it has been shown that...
master thesis 2022
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Stougie, Jurian (author)
To reduce the environmental impact of aircraft, technological innovations are required. The Flying-V could be one of these technical innovations, as research shows it could be up to 20 % more efficient than regular aircraft of the same size. The Flying-V however has low lateral control authority, and pitch<br/>break-up could occur for high...
master thesis 2022
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Siemonsma, Kevin (author)
An aerodynamic model of a 4.6% scaled version of the Flying-V is estimated<br/>using flight data gathered in eight test flights. The two-step method used<br/>consists of first, the state estimation using an Iterated Extended Kalman<br/>Filter(IEKF), and second the polynomial model structure is determined<br/>using a stepwise regression algorithm...
master thesis 2022
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Ferreira Lemos, André (author)
Even though Deep Reinforcement Learning (DRL) techniques have proven their ability to solve highly complex control tasks, the opaqueness and inexplicability associated with these solutions many times stops them from being applied to real flight control applications. In this research, reward decomposition explanations are used to tackle this...
master thesis 2022
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Piera, Sybe (author)
Future human-machine control tasks with preview (e.g., car driving) are expected to include automation for safety, but keep operators in charge for liability. Such shared control applications require time-varying human identification because the control feedback should be compatible with the operator's variable behavior. A promising time-domain...
master thesis 2022
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Abu-Jurji, Hani (author)
In this thesis, we develop a novel aerial manipulator system with an omni-directional workspace. The system comprises of a quadrotor platform equipped with a rotating five-bar linkage and serves the purpose of demonstrating the ability to perform contour tracing tasks on complex shapes, whilst airborne. In order to remove the dependency on...
master thesis 2022
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Dupon, Fréderic (author)
The use of micro air vehicles (MAV) is becoming increasingly mainstream and with them their applications have become more demanding across the board. The application of MAV’s in large GNSS-denied environments often asks for a distributed and scalable localisation system with minimal reliance on static localisation hardware. In this research a...
master thesis 2022
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