Sökning: "State estimation filter"

Visar resultat 1 - 5 av 101 uppsatser innehållade orden State estimation filter.

1. 1. Battery Degradation and Health Monitoring in Lithium-Ion Batteries: An Evaluation of Parameterization and Sensor Fusion Strategies

   Master-uppsats, Linköpings universitet/Institutionen för systemteknik

   Författare :Simon Saber; [2024]
   Nyckelord :model-based diagnostics; modellbaserad diagnostik;

   Sammanfattning : The purpose of this project was to perform model-based diagnosis on Li-ion batteries using real-world data and sensor fusion algorithms. The data used in this project was collected and distributed by NASA and mainly consists of voltage and current measurements collected on numerous batteries that were repeatedly charged and discharged from their beginning of life, and until surpassing their end of life. LÄS MER

3. 2. Robust Aircraft Positioning using Signals of Opportunity with Direction of Arrival

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Erik Axelsson; Sebastian Fagerstedt; [2023]
   Nyckelord :Simultaneous localisation and mapping; direction of arrival; signals of opportunity; extended Kalman filter; positioning;

   Sammanfattning : This thesis considers the problem of using signals of opportunity (SOO) with known direction of arrival (DOA) for aircraft positioning. SOO is a collective name for a wide range of signals not intended for navigation but which can be intercepted by the radar warning system on an aircraft. LÄS MER

4. 3. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jiaqi Xu; [2023]
   Nyckelord :Traffic State Estimation; Macroscopic Traffic Model; Extended Kalman Filter; Particle Filter; Data Fusion; Trafiklägesuppskattning; Makroskopisk trafikmodell; Utökad Kalman-filter; Partikelfilter; Datafusion;

   Sammanfattning : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. LÄS MER

5. 4. Design and Implementation of a Rocket Launcher Hybrid Navigation

   Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

   Författare :Omar Ugolini; [2023]
   Nyckelord :launch vehicle navigation; delayed Kalman filter; strapdown; navigering av bärraketer; fördröjt Kalman-filter; strapdown;

   Sammanfattning : Rocket Factory Augsburg (RFA) a German New Space Startup is developing a three-stage rocket launcher aiming at LEO/SSO orbits. A fundamental responsibility of the GNC team is the development of the rocket navigation algorithm to estimate the attitude, position, and velocity allowing the guidance and control loops to autonomously steer the rocket. LÄS MER

7. 5. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Diogo Antunes; [2023]
   Nyckelord :Robust state estimation; Underwater localization; Target tracking; Gaussian mixture; AUV; Estimação robusta de estado; Localização subaquática; Rastreamento de alvos; Mistura Gaussiana; AUV; Robust tillståndsuppskattning; Undervattenslokalisering; Målspårning; Gaussisk blandning; AUV;

   Sammanfattning : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. LÄS MER