Description
Applied Control Systems 3: UAV drone (3D Dynamics & control) is the third part of the Applied Control Systems training series, which focuses on drones and drones. There are noticeable similarities in the design process of self-driving cars and drones, and both of them equally benefit from a series of common technologies such as model predictive control and state space systems. Unlike cars, in the design of drones, we are facing a new topic called feedback control, which you will get to know briefly during the process of this part. Designing and programming drones is one of the most demanding jobs in the present era, and their use is increasing day by day.
Among the most important uses of drones, we can mention transportation services and delivery of goods on site, entertainment, military use, rescuing people in accidents and helping rescue workers, inspecting the quality of structures, etc. Due to their small size and high maneuverability, drones can easily penetrate into difficult and high areas and perform various missions. In smart drones, the path and target point are specified in a 3D environment, and then the robot can reach the location without the need for human help and guidance. The advanced algorithms of these drones can specify the path to reach the target as soon as requested and move towards it immediately. UAVs have several blades and algorithms are usually responsible for adjusting the direction and rotation speed of each blade to move at a certain angle.
What you will learn in the course Applied Control Systems 3: UAV drone (3D Dynamics & control):
- UAV modeling and implementation of its control mechanisms
- Defining a 3D environment for the purpose of automatic UAV routing and positioning
- Mathematical and computational modeling of the UAV guidance and control system
- Familiarity with the most modern and practical UAV guidance techniques such as MPC and feedback linearization
- Familiarity with applied physics and mathematics in the drone production industry
- Transition and rotation matrix
- UAV simulation with Python programming language
- Getting to know the effect of gyroscope and its implementation in the simulated drone model
Course details
Publisher: Yudmi
teacher: Mark Misin Engineering Ltd
English language
Education level: Intermediate
Number of courses: 241
Training duration: 27 hours and 22 minutes
Course topics on 5/2023
Applied Control Systems 3 course prerequisites: UAV drone (3D Dynamics & control)
Basic Calculus: Functions, Derivatives, Integrals
Vector-Matrix multiplication
Udemy course: Applied Control Systems 1: autonomous cars (Math + PID + MPC)
Course images
Introduction video of Applied Control Systems 3 course: UAV drone (3D Dynamics & control)
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
Changes:
The 8/2022 version has increased the number of 20 lessons and the duration of 2 hours and 14 minutes compared to 2021/1.
download link
Password file(s): www.downloadly.ir
Size
11.2 GB
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