Searched for: subject%3A%22extended%255C+kalman%255C+filter%22
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Larocque, Frédéric (author)
Pitot tube-free airspeed estimation methods exist for fixed-wing and multirotor configurations, but lack direct applicability to hybrid unmanned air vehicles due to their wide flight envelope and changing dynamics during transition. This work proposes a novel synthetic air data system for the Variable Skew Quad Plane (VSQP) hybrid vehicle to...
master thesis 2023
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van der Laan, Niels (author)
This thesis investigates the performance of the invariant extended Kalman filter (IEKF) compared to the multiplicative extended Kalman filter (MEKF) in the context of nonlinear state estimation on matrix Lie groups. The IEKF, a relatively recent variant of the EKF, is particularly suitable for systems with group-affine process models and...
master thesis 2023
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Li, Yiting (author)
Localization is one of the most fundamental competencies required by an autonomous robot, providing crucial information about its position for decision-making in indoor environments. In the current literature, an indoor localization system utilizes exteroceptive sensors such as GNSS(Global Navigation Satellite System), a camera, or an ultrasonic...
master thesis 2023
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CORTES PERALTA, Max (author)
The challenge of dealing with patients suffering from chronic diseases and an aging population requires evolving from traditional hospital-based healthcare systems into a person-centered approach, where patients can be monitored remotely via modern technologies by cost-effective and reliable solutions based on emerging technologies in the...
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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YANG, Xuzhou (author)
As unmanned aerial systems (UAS) turn into a full-fledged industry, the sky will be much more crowded in the future. Large-scale UAV applications make reliable UAV navigation a pressing need. Traditionally, global navigation satellite system (GNSS) is extensively used as the primary positioning, navigation, and timing (PNT) service. However,...
master thesis 2022
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Tanis, Tobias (author)
Autonomous orbit determination could help reducing the growing load on ground-based deep space networks. For small satellites, orbit determination based solely on inter-satellite measurements could be a strong alternative for conventional ground-based navigation support. The possibilities of this autonomous orbit determination method are...
master thesis 2022
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van Oorschot, Marijn (author)
Spacecraft navigation and control is difficult in deep space operations. Especially around asteroids, the irregular gravity field increases the difficulty of estimating the spacecraft trajectory. Autonomous navigation can increase the safety and accuracy for orbit proximity operations. Furthermore, it eliminates the need for continuous...
master thesis 2022
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ten Klooster, Fons (author)
Research in passive Heating, Ventilation, and Air Conditioning (HVAC) systems has gained traction over the last few years. Although passive HVAC is not a new concept, advances in environment sensing, control methods, and hardware have made it a more viable method. Some difficulties still exist, such as optimal sensor placement and optimal...
master thesis 2022
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Behdani, B. (author), Tajdinian, Mohsen (author), Allahbakhshi, Mehdi (author), Popov, M. (author), Shafie-khah, Miadreza (author), Catalao, Joao P. S. (author)
Geomagnetically induced currents (GICs) are referred to the quasi-DC current flows in power networks, driven by complex space weather-related phenomena. Such currents are a potential threat to the power delivery capability of electrical grids. To mitigate the detrimental impacts of GICs on critical infrastructures, the GICs should be monitored...
journal article 2022
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Kongurai, Krit (author)
State estimation (SE) is a crucial tool for power system state monitoring since the control center requires a process to deal with a large number of imprecise measurements. Several SE methods have been applied and developed for the electric power system in the transmission level in the past several decades. Meanwhile, SE for the distribution...
master thesis 2021
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Su, Guigeng (author), Petrov, N. (author), Yarovoy, Alexander (author)
In this paper, we propose a method for continuous monitoring of vital signs-in particular, respiration frequency-with a commercial mm-wave radar. The nearly constant frequency (NCF) model is adopted to represent chest displacement due to respiration and simulate radar response. Based on this model, an extended Kalman filter (EKF) based...
conference paper 2021
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Alforja Ruiz, Iñigo (author)
Space debris is becoming one of the major risks to be suffered by operating and future space missions. Recent studies show that the number of potentially hazardous uncontrolled orbital bodies is growing with time, increasing the probability of impact with operational satellites. To counteract this problem, several studies are being suggested to...
master thesis 2020
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Chaves Jimenez, A. (author)
Spacecraft orbit and attitude dynamics have been classically seen as two separated<br/>subjects, since the effect of attitude in orbit dynamics was deemed too small to be<br/>considered, or simply, modeled as noise in the estimation process for most satellites.<br/>In the eighties, a study by [1] showed that for a very large spacecraft,...
doctoral thesis 2020
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Vertregt, Casper (author)
This research applied a Dual Extended Kalman Filter (DEKF) to time-varying human operator (HO) parameter estimation in preview tracking tasks. The preview time parameter was of particular interest, as the amount of preview can be highly variable in practical situations. The filter was centered around a linear cybernetic HO model with six...
master thesis 2020
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Audenaert, Lisa (author)
Automotive radar has an advantage over other sensors in that it is better at operating in bad weather conditions. To see the extent of the effect that adverse weather conditions might have on the statistics of the data a statistical analysis was performed on real measurement data. During heavy rain there is a shift that can be observed in the...
master thesis 2019
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Fonod, R. (author), Shima, Tal (author)
A novel wingman-based estimation and guidance concept is proposed for a sensorless pursuer. The pursuer is guided towards a maneuvering aerial target using proportional navigation (PN) guidance law. The wingman is assumed to acquire bearings-only measurements of the target and to accurately track the wingman-pursuer relative position. The...
journal article 2019
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Katsaounis, Georgios (author)
Recent advances in sensor technology have lead to increased resolution of novel sensors, while tracking applications where distance between sensors and objects of interest is very small have gained research interest recently. In these cases, it is possible that multiple sensor detections are generated by each object of interest. Extended Object...
master thesis 2019
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Kok, M. (author), Schön, Thomas B. (author)
We present a novel algorithm for online, real-time orientation estimation. Our algorithm integrates gyroscope data and corrects the resulting orientation estimate for integration drift using accelerometer and magnetometer data. This correction is computed, at each time instance, using a single gradient descent step with fixed step length. This...
journal article 2019
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Ibrahim, Raed Khalaf (author), Watson, S.J. (author), Djurović, Siniša (author), Crabtree, C.J. (author)
Determining the magnitude of particular fault signature components (FSCs) generated by wind turbine (WT) faults from current signals has been used as an effective way to detect early abnormalities. However, the WT current signals are time varying due to the constantly varying generator speed. The WT frequently operates with the generator close...
journal article 2018
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