Udemy – Applied Control Systems 3: UAV drone (3D Dynamics & control) 2022-8

Applied Control Systems 3: UAV drone (3D Dynamics & control) is the third part of the Applied Control Systems training series, which focuses on UAVs and drones. There are noticeable similarities in the design process of self-propelled vehicles and UAVs, and both use a number of common technologies, such as Model Predictive Control and state space systems alike. Unlike cars, in the design of UAVs, we are faced with a new topic called feedback control, which you will get acquainted with briefly during the process of this section. Designing and programming drones is one of the most popular jobs in the present era and their use is increasing day by day.

Among the most important uses of UAVs are transportation services and delivery of goods on the spot, entertainment, military use, rescue of victims and assistance to rescue workers, quality inspection of structures and …. Due to their small size and high maneuverability, drones can easily penetrate difficult and long areas and perform various missions. In smart drones, the path and target point are determined in a three-dimensional environment, and then the robot can reach the place without the need for human help and guidance. The advanced algorithms of these drones can determine the path to the target as soon as requested and move towards it immediately. UAVs have multiple blades, and algorithms usually have the task of adjusting the direction and speed of rotation of each blade to move at a certain angle.

What you will learn in Applied Control Systems 3: UAV drone (3D Dynamics & control)

• Modeling the drone and implementing its control mechanisms
• Define a 3D environment for automatic UAV navigation and positioning
• Mathematical and computational modeling of UAV guidance and control system
• Familiarity with the most modern and practical drone guidance techniques such as MPC and feedback linearization
• Introduction to physics and applied mathematics in the UAV industry
• Transition and rotation matrices
• UAV simulation with Python programming language
• Familiarity with the gyroscopic effect and its implementation in the simulated drone model

Course specifications

Publisher: Udemy
Instructors: Mark Misin Engineering Ltd
Language: English
Level: Intermediate
Number of Lessons: 241
Duration: 27 hours and 22 minutes

Course topics on 2023/5

Applied Control Systems 3: UAV drone (3D Dynamics & control) Prerequisites

Basic Calculus: Functions, Derivatives, Integrals

Vector-Matrix multiplication

Udemy course: Applied Control Systems 1: autonomous cars (Math + PID + MPC)

Pictures

Applied Control Systems 3: UAV drone (3D Dynamics & control) introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: English

Quality: 720p

Changes:

Version 2022/8 compared to 2021/1 has increased the number of 20 lessons and the duration of 2 hours and 14 minutes.

Download link

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 2 GB

Download Part 4 – 2 GB

Download Part 5 – 2 GB

Download Part 6 – 1.28 GB

Size

11.2 GB