Searched for: contributor%3A%22de+Visser%2C+C.C.+%28mentor%29%22
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Chung, Chris (author)
Loss-of-Control (LoC) is the primary cause of drone crashes, necessitating efficient onboard prevention systems that are effective in terms of sensor requirements, computing power, and memory. This study introduces a data-driven approach for detecting LoC in quadrotors, using Critical Slowing Down (CSD) theory as an Early Warning Signal (EWS) of...
master thesis 2024
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Stam, Noah (author)
Neglecting actuator dynamics in nonlinear control and control allocation can lead to performance degradation, especially when considering fast dynamic systems. This thesis provides a novel method to account for actuator dynamics in the control allocation solution, dynamic incremental nonlinear control allocation, or D-INCA. The incremental...
master thesis 2024
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Bootsma, Sybren (author)
Aerodynamic stall has been a critical factor in recent aircraft crashes, leading to revisions in the regulations on the fidelity of stall models in flight simulation training devices. However, the updated regulations still lack a clearly defined accuracy required for effective pilot training. To determine the required accuracy, this research...
master thesis 2024
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van Hilten, Quinten (author)
In this article a novel Control Barrier Function (CBF) named the fault tolerant Control Barrier Function (ftCBF) is introduced. The ftCBF is able to keep a vehicle within a predefined safe set with changing control bounds and changing system dynamics. The ftCBF is shown to be feasible in fault tolerant control applications, as opposed to...
master thesis 2024
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Bogaerts, Charlie (author)
This study aims to quantify the aerodynamic behaviour of fixed pitch rotors with a diameter of 12.7 cm in axial descent, and its contribution to the attitude oscillations found for quadcopters under similar flight conditions. Wind tunnel tests are performed with an isolated rotor, as well as a complete quadcopter mounted inside a gimbal that...
master thesis 2023
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de Fuijk, Dirk (author)
Adequate modeling of the unsteady aerodynamics during flow separation is critical for effective pilot training in Flight Simulation Training Devices. Over the years, a stall modeling method rooted in Kirchhoff's theory of flow separation has gained popularity due to its relative simplicity and suitability for parameter identification from flight...
master thesis 2023
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Janakiraman, Sathya (author)
Having a reliable flight envelope is of paramount importance for safe flight operations. Parameters that determine the safe flight envelope are airspeed , angle of attack, angle of sideslip, Euler angle and load factor. These parameters need to be fault redundant, In order to address this challenge, an unscented Kalman estimation routine is...
master thesis 2023
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Kaffa, Lauren (author)
Loss of control (LOC) is the primary cause of failure of Unmanned Aerial Vehicles (UAV). The safety of these systems can be largely improved by facilitating techniques to prevent LOC to occur, such as Flight Envelope Protection, enabling controllers to keep the system within the Safe Flight Envelope (SFE).<br/>The aim of this work is to examine...
master thesis 2023
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Hoppenbrouwer, Tom (author)
Upon rotor loss, fault-tolerant quadrotors are subjected to a severe restriction of the set of attainable virtual controls, making them vulnerable to loss of control at high speed flight. Due to the high nonlinearity of the reduced attitude controller and incremental nature of the fault-tolerant controller, determination of the safe flight...
master thesis 2023
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van der Velde, Geert (author)
For increasing the safety of quadcopters the development of recovery control algorithms is crucial. A common cause of quadcopter crashes is collisions. To validate recovery control algorithms on collisions, the quadcopter has to reach the post-collision state. <br/>For this, the principle of 'endpoint control' is introduced, bringing the...
master thesis 2023
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Saify, Burhanuddin (author)
As quadrotors continue to become more popular for personal and commercial use, improving their safety is essential, especially in impaired operating states. With (asymmetric) blade damage (ABD) being a potentially dangerous type of impairment, it is beneficial to understand how it affects the dynamic behavior of a quadrotor. This research...
master thesis 2023
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Brill, Patrick (author)
To improve the safety of commercial air transport, pilots are required to train on simulators to recognize the characteristics of an impeding stall and subsequently correctly recover from it. To prevent negative training, it is important that the accuracy of the used simulation models is high. A manner to model the nonlinear, unsteady...
master thesis 2023
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Steiner, Lukas (author)
master thesis 2023
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de Alvear Cardenas, Jose Ignacio (author)
Despite the camera being ubiquitous to unmanned aerial vehicles (UAVs), it has not been used for fault detection and diagnosis (FDD) due to the nonexistence of UAV multi-sensor datasets that include actuator failure scenarios. This thesis proposes a knowledge-based FDD framework based on a lightweight Long-Short Term Memory network that fuses...
master thesis 2022
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Koster, Max (author)
In order to gain more insight into the effects of propeller ducts on quadrotors in forward flight, this research analyses flight data obtained from free flight tests, performed in the Cyberzoo and the Open Jet Facility of the TU Delft. Using a quadrotor platform with detachable propeller ducts, both trimmed forward flight tests and flights...
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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Kaneko, Kei (author)
Flight envelope prediction is a challenging task where one of the difficulties is that widely used methods, like the level set methods, are impractical for systems with more than four coupled state dimensions due to the “curse of dimensionality”. Monte-Carlo simulation based approach suffers less from this, however a large number of simulations...
master thesis 2022
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Luteijn, Peter (author)
Research into Aerodynamic Stall Model Identification (ASMI) is an ongoing endeavor to create a model that achieves the highest fidelity, that aids in upset recovery training of pilots in Flight Simulator Training Devices (FSTD). Aircraft come in various configurations, one aircraft stall model cannot sufficiently provide a full understanding...
master thesis 2022
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DELFOSSE, Alexandre (author)
Since 2019, the FAA and the EASA impose to all airline pilots to follow, as part of their training, a stall and recovery training. To mitigate the risks, this training takes place in ground-based simulators. To make it happen, models of the aircraft behaviour at high angle of attack need to be developed. Among the different modeling approaches...
master thesis 2022
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Altena, Anique (author)
Loss-of-control (LOC) is the main cause of crashes for drones. On-board prevention systems should be designed that require low computing power and memory. Data-driven techniques serve as a solution. This study proposes the use of recurrent neural networks (RNN) for LOC prediction. The aim is to identify which RNN model is most suitable and if...
master thesis 2022
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