Mô tả

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.

Bạn sẽ học được gì

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.

Yêu cầu

  • 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.

Nội dung khoá học

6 sections

Welcome to the course!

1 lectures
Motivation to the course
05:43

Control engineering functions: Modeling using Control System Toolbox

5 lectures
Modeling of linear time-invariant systems as LTI models:Transfer functions
11:22
State Space Model of Systems
07:24
Converting and Working with LTI–Models
11:39
Conversion between continuous-time and discrete-time systems
05:03
MATLAB Control System Toolbox first Section memorization
02:34

Analysis of LTI models: the behaviour of a system

5 lectures
Model dynamics
05:29
Time Domain Analysis of Linear Systems
06:27
Frequency Domain Analysis of Linear Systems 1
07:36
Frequency Domain Analysis of Linear Systems 2
06:31
Interactive model analysis: Linear System Analyzer
05:36

Controller design using the Control System Designer app

2 lectures
Control System Design with Root Locus
11:31
Controller design with the Control System Designer
09:29

MOTOR CONTROL SYSTEM: CONTROLLER DESIGN Strategies and Simulation

8 lectures
The DC shunt machine: Investigation of the system properties with Simulink
06:25
Interactive investigation of a model with the Simulink Linear Analysis Tool
04:17
PI Current Control of DC Motor by using the Magnitude Optimum
10:51
PI speed control of a DC motor by using the symmetrical optimum design method
08:21
State observer_Luenberger observer design
12:17
State observer_Disturbance observer design
07:03
Control System Design with State Observers and State Feedback Controller
13:18
Integral action in state feedback control
05:25

Introduction to Robust Control Systems Design

2 lectures
Kalman filter Design
07:54
Design of an LQR-optimal state controller with Kalman filter
09:18

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