Essays about: "Banoptimering"

Found 4 essays containing the word Banoptimering.

  1. 1. Trajectory Optimisation of a Spacecraft Swarm Maximising Gravitational Signal

    University essay from KTH/Optimeringslära och systemteori

    Author : Rasmus Maråk; [2023]
    Keywords : Spacecraft Swarms; Trajectory Optimisation; Impulsive Manoeuvres; Evolutionary Algorithms; Polyhedral Gravity Model; Small Body Exploration; Discrete Spherical Grids; Svärmande rymdfarkoster; Banoptimering; Impulsiva manövrar; Evolutionära Algoritmer; Polyhedral gravitationsmodell; Utforksning av små kroppar i solsystemet; Diskreta sfäriska rutnät;

    Abstract : Proper modelling of the gravitational fields of irregularly shaped asteroids and comets is an essential yet challenging part of any spacecraft visit and flyby to these bodies. Accurate density representations provide crucial information for proximity missions, which rely heavily on it to design safe and efficient trajectories. READ MORE

  3. 2. Attitude and orbit control analysis of a solar sail spacecraft for Space sunshade missions in the vicinity of the sub-Lagrange 1 point

    University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

    Author : Benjamin Jouanneau; [2022]
    Keywords : ;

    Abstract : This Master thesis report contains a complete attitude and orbit control analysis for solar sail spacecraft in the Circular-Restricted-3-Body-Reference frame. The overall goal of the project is to drive one solar sail from the edge of the Earth Sphere of Influence to a vicinity of the sub-Lagrange1 point. READ MORE

  4. 3. Trajectory optimization for an automated stock-picking robot: A review and experimental evaluation

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

    Author : Iskander Sauma; [2020]
    Keywords : ;

    Abstract : To address the issues related to the physically demanding task of stock-picking that exists in today’s logistics industry, robots have been suggested as a means to reduce the human workload. Extensive efforts have been made by the robotics community to solve problems related to automatic stock picking. READ MORE

  5. 4. Flying High: Deep Imitation Learning of Optimal Control for Unmanned Aerial Vehicles

    University essay from KTH/Robotik, perception och lärande, RPL

    Author : Ludvig Ericson; [2018]
    Keywords : imitation learning; deep learning; neural networks; quadrotor; quadcopter; multicopter; multirotor; uav; mav; dagger; dynamics; physical dynamics; simulation; djupinlärning; neuronnät; kvadrotor; multikopter; simulation;

    Abstract : Optimal control for multicopters is difficult in part due to the low processing power available, and the instability inherent to multicopters. Deep imitation learning is a method for approximating an expert control policy with a neural network, and has the potential of improving control for multicopters. READ MORE