Sökning: "Nonlinear filters"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden Nonlinear filters.

1. 1. 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

3. 2. Vibration Avoidance Based on Model-Based Control Incorporating Input Shaping

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

   Författare :Chenqi Ma; [2023]
   Nyckelord :Multi-joint industrial robot; Vibration avoidance; Path deviation; Input shaping; Extended flexible joint model; Nonlinear gray-box identification; Fleraxlade industrirobotar; Vibrationsdämpning; Banavvikelse; Ingångsformning; Utökad flexibel axelmodell; Icke-linjär gray-box modell;

   Sammanfattning : VIBRATION AVOIDANCE, a technique to proactively remove unwanted or excessive vibrations in multi-joint industrial robots, has shown to be desired in various applications. A trade-off between vibration avoidance performance and path deviation has been thekey criteria for assessing the effectiveness and quality of an approach. LÄS MER

4. 3. The Implementation and Evaluation of Learning Approaches to State Filtering

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

   Författare :Anna Wilhelmsson; [2022]
   Nyckelord :;

   Sammanfattning : State estimation uses measurements of a system’s output to estimate the state. A particular method within state estimation is filtering, which estimates the state using measurements up to and including the current time. LÄS MER

5. 4. 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

7. 5. Benchmarking VisualInertial Odometry Filterbased Methods for Vehicles

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

   Författare :Muhammad Zahid; [2021]
   Nyckelord :visual inertial odometry; VIO; sensor fusion; state estimation; recursive filter; navigation; autonomous vehicles; visuell tröghetsodometri; VIO; sensorfusion; tillståndsuppskattning; rekursivt filter; navigering; autonoma fordon;

   Sammanfattning : Autonomous navigation has the opportunity to make roads safer and help perform search and rescue missions by reducing human error. Odometry methods are essential to allow for autonomous navigation because they estimate how the robot will move based on the available sensors. LÄS MER