Practical Control System Design: Classical & Modern Methods
Master the Art of Control Engineering with Mathworks Control System Toolbox and MATLAB/Simulink
Ratings 3.85 / 5.00
What You Will Learn!
- Gain practical skills to analyze and control dynamic systems, bypassing extensive hand calculations.
- Master key functions of the Control System Toolbox for robust design and analysis.
- Acquire expertise in designing DC machine speed-current cascade control systems.
- Learn to implement sensorless speed control for DC machines using Luenberger and disturbance observers.
- Develop proficiency in designing state observers and LQR state controllers.
- Create LQG-optimized state controllers using Kalman filters.
- Simplify complex calculations in dynamic system design and analysis with Control System Toolbox.
Description
In today's rapidly evolving technological landscape, control systems play an integral role in a myriad 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 meticulously designed to take you through a step-by-step journey in control system design. It starts with the fundamentals, introducing you to the Mathworks Control System Toolbox—an indispensable tool for modern control engineers. You'll learn how to set up control loops, calculate controller coefficients, and design state observers using MATLAB/Simulink, all while gaining a deep understanding of the underlying principles and theories.
As we delve deeper, the course focuses on electromechanical systems, specifically DC machine speed control, which serves as the foundation for understanding field-oriented control of AC machines. You'll get hands-on experience in setting up 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 like LQ-optimized state controllers and Kalman filter estimated state variables. You'll learn how to use linear-quadratic optimal control as an optimization method, providing you with the skills to tackle complex control problems in real-world applications.
Whether you're just starting out in control engineering or looking to deepen your existing knowledge, this course offers a rich blend of theory, practical examples, and advanced topics to help you become proficient in control system design. With access to all MATLAB and Simulink files used in the course, you can easily practice and deepen your understanding at your own pace.
So, if you're ready to unlock the full potential of control engineering, this course is the key. Enroll now and embark on a transformative learning journey in Practical Control System Design.
Who Should Attend!
- Students in Engineering Fields: Ideal for those pursuing Electrical, Computer, Mechanical, or Aerospace Engineering degrees who want a hands-on approach to control systems.
- Professional Designers: Perfect for control system and dynamic system designers looking to streamline their workflow and implement advanced control strategies.
- Engineering Students Focused on Practicality: Suited for those who want to master the end-to-end process of control system design, from setting up control loops in Simulink to advanced state observer design, all using MATLAB Simulink.
- Control Engineering Enthusiasts: For those passionate about control engineering but prefer to avoid the complexity of manual calculations, this course offers a toolbox-centric approach to modern control systems.
