Sökning: "modell prediktiv kontroll"
Visar resultat 1 - 5 av 10 uppsatser innehållade orden modell prediktiv kontroll.
1. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER
2. Continuous Control SetModel Predictive Control of Permanent Magnet Synchronous Motor
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The thesis provides design methods for developing Continuous Control SetModel Predictive Control and Linear Quadratic Regulator for Interior mounted Permanent Magnet Synchronous Motor drive. The software for these controllers are implemented in the prototype motor at China Euro Vehicle Technology (CEVT) to estimate the computation time. LÄS MER
3. Optimal Energy Management System for a Fuel Cell Hybrid Electric Vehicle
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Fuel Cell Hybrid Electric vehicles are hybrid vehicles that consist of both fuel cells and batteries as energy conversion systems. The Energy Management System plays an important role in the operation of the fuel cell hybrid system, as it helps in reducing the hydrogen consumption of the system. LÄS MER
4. Investigation of the contribution of intelligent suspension system on ride comfort and road holding quality in autonomous vehicles : A case study at Volvo Cars Corporation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Transformation to automated drive implies a switch in roles from driver to passenger, which means that the driver goes from complete flexibility to maneuver the car to almost none. There would be a mismatch between the human's preferred driving style and the driving behavior provided by an autonomous car, leading to both mental and physical discomfort amongst the passengers. LÄS MER
5. Learning model predictive control with application to quadcopter trajectory tracking
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In thiswork, we develop a learning model predictive controller (LMPC) for energy-optimaltracking of periodic trajectories for a quadcopter. The main advantage of this controller isthat it is “reference-free”. Moreover, the controller is able to improve its performance overiterations by incorporating learning from the previous iterations. LÄS MER