Sökning: "UKF"

Visar resultat 1 - 5 av 37 uppsatser innehållade ordet UKF.

  1. 1. Implementing Kalman Filtering Algorithms for Estimating Clamp Force on a Test Rig : Testing the Power and Limitations of Unscented Kalman Filter-based Estimations

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Tim Naser; [2023]
    Nyckelord :Clamping Froce; Kalman Filtering; Unscented Kalman Filtering; Tightening; Consequence of User Errors During Tightening; Velocity Profiles; Klämkraft; Kalman Filtrering; Unscented Kalman Filtrering; Åtdragning; Konsekvens av Användarfel Under Åtdragning; Hastightersprofiler.;

    Sammanfattning : his study explores clamp force estimation using Unscented Kalman Filtering (UKF) in torque-controlled tightening scenarios with various velocity profiles. Previous research has explored the impact of velocity levels on target torque and clamping force, but only using hand-held tools. LÄS MER

  3. 2. Airspeed estimation of aircraft using two different models and nonlinear observers

    Master-uppsats, Linköpings universitet/Fordonssystem

    Författare :Alexander Roser; Anton Thunberg; [2023]
    Nyckelord :sensor fusion; flight mechanics; Kalman filter; extended Kalman filter; unscented Kalman filter; pitot tube; airspeed estimation; simulation;

    Sammanfattning : When operating an aircraft, inaccurate measurements can have devastating consequences. For example, when measuring airspeed using a pitot tube, icing effects and other faults can result in erroneous measurements. LÄS MER

  4. 3. Modeling and Control of a PMSM Operating in Low Speeds

    Master-uppsats, Linköpings universitet/Fordonssystem

    Författare :Robin Helsing; Tobias Sanchez; [2022]
    Nyckelord :PMSM; BLDC; low speed; EKF; UKF; MPC; Extended Kalman Filter; Unscented Kalman Filter; PI; Control; FOC;

    Sammanfattning : A permanent magnet synchronous motor is a type of motor that is used in several different application areas, not least in an autonomous robots where it is the motor that drives the wheels. Today, many actors choose simulation as a tool to save money and time when product tests are performed. LÄS MER

  5. 4. Localization For AutonomousDriving using Statistical Filtering : A GPS aided navigation approach with EKF and UKF

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

    Författare :Devrat Singh; [2022]
    Nyckelord :Land Vehicle Localization; Sensor Fusion; GNSS-INS Fusion; UKF; EKF;

    Sammanfattning : A critical requirement for safe autonomous driving is to have an accurate state estimate of thevehicle. One of the most ubiquitous yet reliable ways for this task is through the integrationof the onboard Inertial Navigation System (INS) and the Global Navigation Satellite System(GNSS). LÄS MER

  7. 5. An Adaptive IMM-UKF method for non-cooperative tracking of UAVs from radar data

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

    Författare :Hólmfrídur Elvarsdottir; [2022]
    Nyckelord :Radar tracking; Kalman filters; UAV Unmanned Arial Vehicle ; IMM Interacting Multiple Model ; Nonlinear filters; Radar spårning; Kalmanfilter; Obemannade luftfarkoster; IMM Interacting Multiple Model ; Olinjära filter;

    Sammanfattning : With the expected growth of Unmanned Aerial Vehicle (UAV) traffic in the coming years, the demand for UAV tracking solutions in the Air Traffic Control (ATC) industry has been incentivized. To ensure the safe integration of UAVs into airspace, Air Traffic Management (ATM) systems will need to provide a number of services such as UAV tracking. LÄS MER