Sökning: "Styrsystem Control system"
Visar resultat 1 - 5 av 287 uppsatser innehållade orden Styrsystem Control system.
1. Control system and simplified timesynchronization for heterogenous IoT systems with medium time requirements
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : The company QTPIE conducts research on drivers and their unconscious reactions when driving. To help, they use smart devices that today must be individually handled at the start and end of a run, and have individually set timestamps, which can lead to differences between the units when data is entered and collation of the units' data after a run. LÄS MER
2. Real-Time Certified MPC for a Nano Quadcopter
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : There is a constant demand to use more advanced control methods in a wider field of applications. Model Predictive Control (MPC) is one such control method, based on recurrently solving an optimization problem for determining the optimal control signal. LÄS MER
3. Utveckling och utvärdering av en funktionssäker pulsgivare : Konkretisering och vidareutveckling av en patenterad lösning vilken ämnas detektera låsta lager
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : An emerging industrial automation has led to higher demands required for construction of encoders to ensure functionality of automated processes. The main purpose of the encoder is to provide data which indicates the condition of a drive system. LÄS MER
4. Predictive Controllers for Load Transportation in Microgravity Environments
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Space activities have been increasing dramatically in the past decades. As a result, the number of space debris has also increased significantly. Therefore, it is necessary to clean up and remove them to prevent a collision between space debris and spacecraft. LÄS MER
5. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. LÄS MER