UAV Drones (3D Dynamics and Control) 2022-8 – Download

explanation

Applied Control Systems 3: UAV Drones (3D Dynamics and Control) is the third part of the Applied Control Systems training series focusing on UAVs and drones. There are notable similarities between the design processes of self-propelled vehicles and UAVs, and both use several common technologies, such as model predictive control and state space systems. Unlike cars, UAV design confronts us with a new topic: feedback control, which we will briefly explore throughout this section. Designing and programming drones is one of the most popular jobs today, and its applications are increasing day by day.

Among the most important uses of UAVs are transportation services and on-site delivery of goods, entertainment, military use, rescuing victims and assisting rescue workers, and quality inspection of structures. Due to their small size and high mobility, drones can easily penetrate difficult and long-distance areas and perform a variety of missions. Smart drones determine a path and target point in a 3D environment, and then the robot can reach that location without human help or guidance. The advanced algorithms of this drone can determine the path to the target upon request and immediately move towards the target. A UAV has multiple blades, and algorithms typically work by adjusting the rotation direction and speed of each blade to move at a specific angle.

What you will learn in Applied Control System 3: UAV drone (3D dynamics and control)

Drone modeling and control mechanism implementation
3D environment definition for automatic UAV navigation and positioning
Mathematical and computational modeling of UAV guidance and control systems
Knowledge of the most modern and practical drone guidance technologies, including MPC, feedback linearization, etc.
Introduction to Physics and Applied Mathematics in the UAV Industry
Transition and rotation matrices
UAV simulation using the Python programming language
Familiarity with gyroscope effects and implementation in simulated drone models

Course specifications

publisher: Udemy
teacher: Mark Mishin Engineering Ltd
Language:English
Level: Intermediate
Number of classes: 241
Duration: 27 hours 22 minutes

2023/5 Course Topics

Applied control system 3: Unmanned aerial vehicle (3D dynamics and control)

Application Control System 3: Unmanned Aerial Vehicle (3D Dynamics and Control) Prerequisites

Basic Calculus: Functions, Derivatives, Integrals

Vector-Matrix Multiplication

Udemy Courses: Application control system 1: Autonomous vehicle (Math + PID + MPC)

movie

Applied control system 3: Unmanned aerial vehicle (3D dynamics and control)

Application Control System 3: UAV Drone (3D Dynamics & Control) Introduction Video

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Subtitles: English

Quality: 720p

Changes:

Compared to the 2021/1 version, the 2022/8 version has increased class times to 20 lessons and 2 hours and 14 minutes.