Essays about: "Model Predictive Control"

Showing result 21 - 25 of 310 essays containing the words Model Predictive Control.

1. 21. Predicting power demand and optimizing energy management for fuel cell battery hybrid construction vehicles

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Abhishek Karthikeyan; [2023]
   Keywords : Fuel cell; Construction Vehicle; Energy management; Optimization; Model Predictive Control; Load prediction; Auto-correlation; Bränslecell; Byggfordon; Energihantering; Optimering; Modellförutsägande reglering; Belastningsprediktion; Autokorrelation;

   Abstract : The automotive industry has been actively seeking ways to reduce emissions and combat global warming. While pure battery electric vehicles have shown promise in achieving zero-tailpipe emissions, they face challenges in meeting the energy demands of large construction machines like excavators and wheel loaders, due to the heavy batteries required. READ MORE

3. 22. Model Predictive Urea Dosing Control Strategy for Heavy-Duty Diesel Vehicles

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Mathias Schmekel; [2023]
   Keywords : Model predictive control; Selective catalytic reduction; Nitrogen oxides; Modell-prediktiv reglering; Selektiv katalytisk reduktion; Kväveoxider;

   Abstract : Stricter requirements on the reduction of Nitrogen Oxides (NOx) in the emissions of heavy-duty diesel vehicles drives development for more efficient aftertreatment systems. An ammonia covered catalyst is one of the most successful technologies in reducing NOx by converting it into the harmless byproducts water and nitrogen. READ MORE

4. 23. Predictive Control for Mitigating Solar Power Variations in Isolated Steam Power Systems

   University essay from Linköpings universitet/Fordonssystem

   Author : Rasmus Björk; [2023]
   Keywords : ;

   Abstract : The need to reduce the amount of fossil fuel consumed by industry is vital. However, it is crucial to understand that industry is less inclined to shift its consumption from fossil fuels to renewable energy sources solely based on environmentalconcerns; to realistically make industry switch from fossil fuels to renewable energy sources, renewable energy sources must provide efficient results for industry. READ MORE

5. 24. Evaluation of MPC and PI control on a Tribometer : Design and comparison of control methods for a Pin-on-Disc Tribometer

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Ehab Ziad Raheem; Tore Malmström; [2023]
   Keywords : Control Theory; MPC; PI; PI-Cascade; Tribometer; Pin-on-Disc; Reglersystem; MPC; PI; PI-Kaskadreglering; Tribometer; Stift-På-Skiva;

   Abstract : This thesis compares Model Predictive Control (MPC) and Proportional-Integral (PI) control in a pin-on-disc tribometer. The tribometer consists of a geared Direct Current (DC) motor driving a flywheel and a voice coil actuating a pin onto the surface of the flywheel. READ MORE

6. 25. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Isabella Luppi; [2023]
   Keywords : Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

   Abstract : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. READ MORE