Essays about: "modell prediktiv kontroll"

Showing result 1 - 5 of 9 essays containing the words modell prediktiv kontroll.

  1. 1. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

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

    Author : Victor Sanchez; [2023]
    Keywords : Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

    Abstract : 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. READ MORE

  2. 2. Continuous Control SetModel Predictive Control of Permanent Magnet Synchronous Motor

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

    Author : Prithivirajan Subramaniyane; [2022]
    Keywords : Interior permanent magnet synchronous motor; Continuous control set-Model predictive control; Linear quadratic regulator; Quadratic programming; Interior permanent magnet synchronous motor; Continuous control set-Model predictive control; Linear quadratic regulator; Quadratic programming;

    Abstract : 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. READ MORE

  3. 3. Optimal Energy Management System for a Fuel Cell Hybrid Electric Vehicle

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

    Author : Sarthak Manocha; [2021]
    Keywords : Fuel cell vehicle; hybrid vehicle; batteries; optimal control; model predictive control; energy management system; power distribution system; Bränslecellsfordon; hybrid elfordon; batteri; optimal kontroll; modell prediktiv kontroll; energiledningssystem; eldistributionssystem;

    Abstract : 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. READ MORE

  4. 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

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

    Author : Mehrdad Bahmani; [2021]
    Keywords : ;

    Abstract : 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. READ MORE

  5. 5. Learning model predictive control with application to quadcopter trajectory tracking

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

    Author : Abhishek Maji; [2020]
    Keywords : Data driven; iterative learning control; learning; optimal control; predictive control; Datadriven; iterativ inlärningskontroll; inlärning; optimal kontroll; förutsägbar kontroll;

    Abstract : 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. READ MORE