Advanced search

Showing result 1 - 5 of 40 essays matching the above criteria.

  1. 1. Improving the guidance, navigation and control design of the KNATTE platform

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Lars Lundström; [2023]
    Keywords : Multisensor Data Fusion; Nonlinear Kalman Filter; Neural Network;

    Abstract : For complex satellite missions that rely on agile and high-precision manoeuvres, the low-friction aspect of the space environment is a critical component in understanding the attitude control dynamics of the spacecraft. The Kinesthetic Node and Autonomous Table-Top Emulator (KNATTE) is a three-degree-of-freedom frictionless vehicle that serves as the foundation of a multipurpose platform for real-time spacecraft hardware-in-the-loop experiments, and allows emulation of these conditions in two dimensions with the purpose of validating various guidance, navigation, and control algorithms. READ MORE

  3. 2. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods

    University essay from Mälardalens universitet/Framtidens energi

    Author : Josefin Rojas Vazquez; [2023]
    Keywords : Battery management system; Lithium-ion batteries; battery degradation mechanisms; battery cycle life; Electrical impedance spectroscopy; Capacity estimation; Incremental capacity analysis; Deep learning models; Equivalent circuit model; Long short-term memory; Feedforward neural network; Conventional neural network; multi-channel data; Incremental capacity analysis;

    Abstract : The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. READ MORE

  4. 3. Synthesizing of brain MRE wave data

    University essay from KTH/Medicinsk avbildning

    Author : Maryia Yuliuhina; [2023]
    Keywords : MR elastography; brain MRE; synthetic data; computational modeling; shear wave elastography; MR-elastografi; hjärn MRE; syntetiska data; beräkningsmodellering; skjuvvåg elastografi;

    Abstract : Magnetic resonance elastography (MRE) is an imaging technique that allows for non-invasive access to the physical properties of body tissues. MRE has great potential, but it is difficult to conduct research due to the time-consuming estimation of stiffness maps, which could be speeded up by using neural network. READ MORE

  5. 4. GPS and IMU Sensor Fusion to Improve Velocity Accuracy

    University essay from Uppsala universitet/Institutionen för elektroteknik

    Author : Adam Laurell; Erik Karlsson; Yousuf Naqqar; [2022]
    Keywords : Sensor fusion; GPS navigation; Extended Kalman filter; Control systems; Velocity estimation; Data processing;

    Abstract : The project explores the possibilities on how to improve the accuracy of GPS velocity data by using sensor fusion with an extended Kalman filter. The proposed solution in this project is a sensor fusion between the GPS and IMU of the system, where the extended Kalman filter was used to estimate the velocity from the sensor data. READ MORE

  6. 5. Soft sensor for snow density measurements

    University essay from Mittuniversitetet/Institutionen för elektronikkonstruktion

    Author : Filippa Brandt; [2022]
    Keywords : Machine Learning; soft sensor; snow density; linear regression; GPR; neural network; SVM;

    Abstract : The aim of this project was to examine if a machine learning model could be used to predict snow density from six different weather parameters. These were artificially generated snow density, air temperature, ground temperature, relative humidity, windspeed and the snow depth change. READ MORE