In order to model a real system, differential equations are usually derived, which are based on physical principles. When modelling a characteristic hysteresis, the mathematical equations are also based...

The quadcopters and multicopters used today are driven by brushless motors as standard. In most cases these drive the propellers directly. A gear is used in exceptional cases. This configuration of the...

This booklet is intended for everyone who wants to set the control parameters of a quadcopter or who works on his own projects with quadcopters. For anyone who wants to understand why a quadrocopter flies...

Since the beginning, the development of quadcopters and drones has been strongly influenced by sensors in combination with microprocessors. These flight systems would not be feasible without sensors,...

This booklet provides basic knowledge and assistance for the purchase of quadrocopters and a detailed flight school.It is limited to the essentials, without any ballast. Contents: - Ready-to-fly quadcopters...

All in all, quadcopters would be much better accepted among model-makers if they were a little more colorful. Many pilots say, however, that all the work building a depron body would be destroyed in a...

For quadcopters there are many names. They are also called quadrocopter, quadricopter, drone, multicopter or simply 'UFO'. This type of model construction is very young. It began early in the new millennium...

In this publication, parameter sets for PID controllers are presented, which can be used to control systems with time-delayed stable step responses. These parameter sets minimize the quality criteria...

Die Multicopter eignen sich besonders für die Behandlung der Themen Telemetrie oder auch Fotoflug mit UAV, Unmanned Air Vehicles. Sie erlauben es, an einem Ort zu schweben. Dies ermöglicht auch einen...

The multicopters are particularly suitable for dealing with the topics of telemetry or photo flights with UAV, Unmanned Air Vehicles. They allow to float in one place. This also enables a particularly...

Deep Learning ist ein Teilgebiet des Machine Learning. Es beschreibt die sehr häufig eingesetzte Methode, wie ein Computer mithilfe von Neuronalen Netzen und Trainingsdaten lernen kann und dieses Erlernte...

This booklet introduces the most important basics of deep learning. It describes the very frequently used method of how a computer can learn using neural networks and training data and apply what it has...