Searched for: subject%3A%22fault%255C+tolerant%255C+control%22
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Pezzato, C. (author)
In an ever-evolving society, the demand for autonomous robots equipped with human-level capabilities is becoming increasingly imperative. Various factors, such as an aging population and a shortage of labor for repetitive and physically demanding tasks, have underscored the need for capable autonomous robots to assist us in our daily activities....
doctoral thesis 2024
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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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Ferranti, L. (author), Lyons, L. (author), Negenborn, R.R. (author), Keviczky, T. (author), Alonso-Mora, J. (author)
This work presents a method for multi-robot coordination based on a novel distributed nonlinear model predictive control (NMPC) formulation for trajectory optimization and its modified version to mitigate the effects of packet losses and delays in the communication among the robots. Our algorithms consider that each robot is equipped with an...
journal article 2023
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Teirlinck, Casper (author)
Recent advancements in fault-tolerant flight control have involved model-free offline and online Reinforcement Learning algorithms in order to provide robust and adaptive control to autonomous systems. Inspired by recent work on Incremental Dual Heuristic Programming (IDHP) and Soft Actor-Critic (SAC), this research proposes a hybrid SAC-IDHP...
master thesis 2022
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van der Laan, Fedor (author)
Hydrogen is a promising fuel for both reducing greenhouse gas emissions and being used as an energy carrier for renewable energy sources. The adaption of hydrogen instead of natural gas as a fuel in gas turbine combustors introduces additional challenges regarding flame stability. One instabilities is boundary layer flashback. This phenomenon...
master thesis 2022
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Zhang, Boyang (author), Sun, Xiuxia (author), Lv, Maolong (author), Liu, Shuguang (author), Li, Le (author)
In contrast with most existing results concerning unmanned aerial vehicles (UAVs) wherein material points or only attitude/longitudinal dynamics are considered, this article proposes a distributed fixed-time fault-tolerant control methodology for networked fixed-wing UAVs whose dynamics are six-degree-of-freedom with twelf-state-variables...
journal article 2022
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Zhang, Boyang (author), Sun, Xiuxia (author), Lv, Maolong (author), Liu, Shuguang (author)
Compared with most existing results concerning unmanned aerial vehicles (UAVs) wherein two-degree or only attitude/longitudinal dynamics are considered, this paper proposes an event-based fault-tolerant coordinated control (FTC) for multiple fixed-wing UAVs such that the consensus tracking of velocity and attitude is achieved in the presence...
journal article 2022
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Kougiatsos, N. (author), Negenborn, R.R. (author), Reppa, V. (author)
Nowadays, marine vessels constitute safety-critical assets facilitating the transport of millions of passengers and tons of cargo worldwide. As such, they require a large number of heterogeneous sensors dispersed in the various on-board machinery for operational and condition monitoring of their vital systems, such as the propulsion system....
journal article 2022
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Bello, Riccardo (author)
The demand of adding fault tolerance to quadcopter control systems has significantly increased with the rise of adoption of UAVs in numerous sectors. This work proposes and demonstrates the use of Hierarchical Reinforcement Learning to control a quadcopter subject to severe actuator fault. State-of-the-art algorithms are implemented, and a...
master thesis 2021
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Dally, Killian (author)
Fault-tolerant flight control faces challenges as developing a model-based controller for each unexpected failure is unrealistic, and online learning methods can handle limited system complexity due to their low sample efficiency. In this research, a model-free coupled-dynamics flight controller for a jet aircraft able to withstand multiple...
master thesis 2021
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Wang, Xuerui (author), Sun, Sihao (author)
Quad-plane is a popular type of electric vertical and takeoff/landing (eVTOL) vehicle that hybridizes a quadrotor and a fixed-wing airplane. However, the mechanical simplicity of a quad-plane also makes it vulnerable to rotor failures. When a complete rotor fails, it becomes physically impossible to stop the quad-plane from fast yaw spinning,...
journal article 2021
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Baioumy, Mohamed (author), Pezzato, C. (author), Ferrari, Riccardo M.G. (author), Hernández, Carlos (author), Hawes, Nick (author)
This work presents a novel fault-tolerant control scheme based on active inference. Specifically, a new formulation of active inference which, unlike previous solutions, provides unbiased state estimation and simplifies the definition of probabilistically robust thresholds for fault-tolerant control of robotic systems using the free-energy. The...
conference paper 2021
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Sun, Sihao (author), Wang, Xuerui (author), Chu, Q. P. (author), de Visser, C.C. (author)
In order to further expand the flight envelope of quadrotors under actuator failures, we design a nonlinear sensor-based fault-tolerant controller to stabilize a quadrotor with failure of two opposing rotors in the high-speed flight condition (>8 m/s). The incremental nonlinear dynamic inversion approach which excels in handling model...
journal article 2020
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Pezzato, C. (author), Baioumy, Mohamed (author), Hernández, Carlos (author), Hawes, Nick (author), Wisse, M. (author), Ferrari, Riccardo M.G. (author)
We present a fault tolerant control scheme for robot manipulators based on active inference. The proposed solution makes use of the sensory prediction errors in the free-energy to simplify the residuals and thresholds generation for fault detection and isolation and does not require additional controllers for fault recovery. Results...
conference paper 2020
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Pezzato, Corrado (author)
Dealing with inherently unmodeled dynamics and large parameter variations or faults, is a challenging task while controlling robot manipulators. Classical control techniques cannot usually provide satisfactory responses, and often external supervision systems have to be designed to handle the faults. Recent research has shown that active...
master thesis 2019
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Wang, Xuerui (author)
The swift growth of air traffic volume stresses the importance of flight safety enhancement. Statistical data shows that fly-by-wire technology with automatic flight control systems can effectively reduce the fatal accident rate of loss of control in-flight. Although the dynamics of an aircraft are nonlinear and time-varying, it is common...
doctoral thesis 2019
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Wang, Xuerui (author), van Kampen, E. (author), Chu, Q. P. (author)
This paper proposes incremental nonsingular terminal sliding mode control for a class of multi-input and multi-output nonlinear systems considering model uncertainties, external disturbances, and sudden actuator faults. This method is free from singularity because it does not involve any negative fractional power. The convergence time in both...
journal article 2019
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Wang, Xuerui (author), Sun, S. (author), van Kampen, E. (author), Chu, Q. P. (author)
This paper proposes an Incremental Sliding Mode Control driven by Sliding Mode Disturbance Observers (INDI-SMC/SMDO), with application to a quadrotor fault tolerant control problem. By designing the SMC/SMDO based on the control structure of the sensor-based Incremental Nonlinear Dynamic Inversion (INDI), instead of the model-based Nonlinear...
journal article 2019
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Ashraf, Imrul (author)
Loss of control-in flight (LOC-I) is one of the causes of catastrophic aircraft accidents. Fault-tolerant flight control (FTFC) systems can prevent LOC-I and recover aircraft from its precursors. One group of promising methods for developing Fault-Tolerant Control (FTC) system is the Adaptive Critic Designs (ACD). Recently one ACD algorithm,...
master thesis 2018
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Sijbers, Leon (author)
Conventional controllers are incapable of controlling a rotor failed quadrotor in high speed flight. In this paper, a fault tolerant controller based on Incremental Nonlinear Dynamic Inversion is proposed to control a quadrotor subjected to the loss of two rotors. A pseudoinverse is used to control the roll and pitch rate to steer the average...
master thesis 2018
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