Udemy – Practical Control System Design: Classical & Modern Methods 2023-3
Udemy – Practical Control System Design: Classical & Modern Methods 2023-3

Practical Control System Design: Classical & Modern Methods. In the rapidly evolving world of technology, control systems play a vital role in a variety of applications, from automotive and aerospace to robotics and industrial automation. Understanding how to design, analyze, and implement these systems is crucial for any engineer or researcher in the field. This course, “Practical Control System Design: Classical & Modern Methods,” serves as your comprehensive guide to mastering the art and science of control engineering. This course is carefully designed to guide you on a step-by-step journey through control system design. It starts with the basics and introduces you to the Mathworks Control System Toolbox, an essential tool for modern control engineers. You will learn how to tune control loops, calculate controller coefficients, and design state observers using MATLAB/Simulink, while gaining a deep understanding of the underlying principles and theories.
Going deeper, the course focuses on electromechanical systems, especially DC machine speed control, which serves as a foundation for understanding field-oriented control of AC machines. You will gain practical experience in tuning control loops in Simulink, calculating controller coefficients, and designing state observers for these systems. But we don’t stop at the basics. The course also covers advanced topics such as LQ optimized state controllers and Kalman filter estimated state variables. You will learn how to use linear-quadratic optimal control as an optimization method, giving you the skills needed to tackle complex control problems in real-world applications.
What you will learn
- Gain practical skills for analyzing and controlling dynamic systems, without extensive manual calculations.
- Master the key functions of the control system toolbox for robust design and analysis.
- Gain expertise in designing DC machine speed cascade current control systems.
- Learn to implement sensorless speed control for DC machines using Luenberger observers and disturbance observers.
- Develop skills in designing state observers and LQR state controllers.
- Create optimized LQG state controllers using Kalman filters.
- Simplify complex calculations in dynamic system design and analysis with the Control System Toolbox.
This course is suitable for people who:
- Engineering students: Ideal for those studying electrical, computer, mechanical, or aerospace engineering who want a hands-on approach to control systems.
- Professional Designers: Suitable for control system and dynamic system designers looking to simplify their workflow and implement advanced control strategies.
- Practically focused engineering students: Suitable for those who want to master the end-to-end control system design process, from tuning control loops in Simulink to advanced state-monitoring design, all using MATLAB Simulink.
- Control Engineering Enthusiasts: For those interested in control engineering but prefer to avoid the complexity of manual calculations, this course offers a toolbox-based approach to modern control systems.
Course details: Practical Control System Design: Classical & Modern Methods
- Publisher: Udemy
- Instructor: eDrives Embed
- Training level: Beginner to advanced
- Training duration: 3 hours and 1 minute
- Number of lessons: 23
Course headings
Prerequisites for the Practical Control System Design: Classical & Modern Methods course
- Access to Control System Toolbox (available in MATLAB and Simulink Student Suite or via a free 30-day trial).
- Basic proficiency in MATLAB Simulink and at least one programming language such as C.
- Familiarity with Kirchhoff’s and Newton’s Laws.
- Understanding of differential equations and Laplace Transform.
- High school-level knowledge of mathematics, including matrices and vectors.
Course images
Sample course video
Installation Guide
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Download link
File(s) password: www.downloadly.ir
File size
873 MB