Ultimate Automatic Control Theory in Electrical Engineering

Ultimate Automatic Control Theory in Electrical Engineering, available at $44.99, has an average rating of 5, with 144 lectures, based on 6 reviews, and has 81 subscribers.

You will learn about Grasp the fundamentals of automatic control. Explore the significance and real-world applications of control systems. Create mathematical models for various systems. Master Fourier Series, Fourier Transform, Laplace Transform, and LTI systems. Understand and reduce block diagrams in control systems. Convert block diagrams to Signal Flow Graphs (SFG) and apply Mason’s Formula. Analyze the time response of first and second-order systems. Learn key metrics such as rise time, peak time, and settling time. Evaluate system stability using the Routh-Hurwitz criterion. Calculate steady-state errors for various inputs and systems. Sketch and interpret root-locus plots. Perform frequency response analysis using polar plots, Nyquist criteria, and Bode plots. Design and implement lead and lag compensators. Tune PID controllers using methods like Ziegler-Nichols and Particle Swarm Optimization. This course is ideal for individuals who are Undergraduate and graduate students in electrical, mechanical, and control engineering. or Engineers and professionals looking to deepen their understanding of control systems and enhance their practical skills. or Researchers focusing on control techniques and their applications. It is particularly useful for Undergraduate and graduate students in electrical, mechanical, and control engineering. or Engineers and professionals looking to deepen their understanding of control systems and enhance their practical skills. or Researchers focusing on control techniques and their applications.

Enroll now: Ultimate Automatic Control Theory in Electrical Engineering

Summary

Title: Ultimate Automatic Control Theory in Electrical Engineering

Price: $44.99

Average Rating: 5

Number of Lectures: 144

Number of Published Lectures: 144

Number of Curriculum Items: 144

Number of Published Curriculum Objects: 144

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Grasp the fundamentals of automatic control.
Explore the significance and real-world applications of control systems.
Create mathematical models for various systems.
Master Fourier Series, Fourier Transform, Laplace Transform, and LTI systems.
Understand and reduce block diagrams in control systems.
Convert block diagrams to Signal Flow Graphs (SFG) and apply Mason’s Formula.
Analyze the time response of first and second-order systems.
Learn key metrics such as rise time, peak time, and settling time.
Evaluate system stability using the Routh-Hurwitz criterion.
Calculate steady-state errors for various inputs and systems.
Sketch and interpret root-locus plots.
Perform frequency response analysis using polar plots, Nyquist criteria, and Bode plots.
Design and implement lead and lag compensators.
Tune PID controllers using methods like Ziegler-Nichols and Particle Swarm Optimization.

Who Should Attend

Undergraduate and graduate students in electrical, mechanical, and control engineering.
Engineers and professionals looking to deepen their understanding of control systems and enhance their practical skills.
Researchers focusing on control techniques and their applications.

Target Audiences

Undergraduate and graduate students in electrical, mechanical, and control engineering.
Engineers and professionals looking to deepen their understanding of control systems and enhance their practical skills.
Researchers focusing on control techniques and their applications.

Welcome to our course, “Ultimate Automatic Control Theory in Electrical Engineering,” where you will learn everything about automatic control theory from scratch for electrical engineers.

What Students Will Learn from the Course:

Fundamentals of Control Systems:
- Understand the basic principles of automatic control.
- Learn the importance and applications of control systems in various fields.
Mathematical Modelling:
- Develop mathematical models of electrical and mechanical systems.
- Gain proficiency in Fourier Series, Fourier Transform, Laplace Transform, and Linear Time-Invariant (LTI) systems.
Block Diagram and Signal Flow Graph Techniques:
- Master the concepts of block diagrams and their reduction techniques.
- Convert block diagrams into Signal Flow Graphs (SFG) and use Mason’s Formula.
Time Response Analysis:
- Analyze the time response of first and second-order systems.
- Understand key specifications like rise time, peak time, and settling time.
Stability Analysis:
- Determine system stability using the Routh-Hurwitz criterion.
- Calculate steady-state errors for different inputs and systems.
Root-Locus and Frequency Response Methods:
- Learn to sketch root-locus plots and analyze their effect on system behavior.
- Perform frequency response analysis using polar plots, Nyquist criteria, and Bode plots.
Compensators and PID Controllers:
- Design and implement various compensators in control systems.
- Understand and tune PID controllers using methods like Ziegler-Nichols and Particle Swarm Optimization.

This course provides a comprehensive understanding of control systems, from fundamental concepts to advanced techniques, ensuring students are well-prepared to apply these skills in real-world scenarios.

Course Curriculum

Chapter 1: Mathematical Modelling of Systems

Lecture 1: Introduction to Automatic Control

Lecture 2: Mathematical Modelling of the System

Lecture 3: Fourier Series and Fourier Transform

Lecture 4: Laplace Transform (S-Domain)

Lecture 5: Linear Time Invariant (LTI) Systems

Lecture 6: Example 1

Lecture 7: Types of Electrical Systems

Lecture 8: Example 2

Lecture 9: Example 3

Lecture 10: Course Files

Chapter 2: Block Diagram Reduction

Lecture 1: Block Diagrams In Control Systems

Lecture 2: Block Diagram Reduction

Lecture 3: Feedback Connection

Lecture 4: Example 4

Lecture 5: Example 5

Chapter 3: Signal Flow Graph

Lecture 1: What is a Signal Flow Graph (SFG)?

Lecture 2: Definitions in Signal Flow Graphs

Lecture 3: Steps to Convert Block Diagram to SFG

Lecture 4: Example 6

Lecture 5: Mason’s Formula

Lecture 6: Example 7

Lecture 7: Example 8

Lecture 8: Algebra of Signal Flow Graph

Lecture 9: Example 9

Lecture 10: Example 10

Lecture 11: Example 11

Chapter 4: Time Response Analysis

Lecture 1: Introduction to Time Response Analysis

Lecture 2: Types of Inputs

Lecture 3: Types of Transfer Functions

Lecture 4: First Order System – Impulse Response

Lecture 5: First Order System – Unit Step Response

Lecture 6: First Order System – Unit Ramp Response

Lecture 7: Time Response Specifications of a 1st Order System

Lecture 8: Example 12

Lecture 9: Example 13

Lecture 10: Second Order System

Lecture 11: Second Order System – Underdamped

Lecture 12: Second Order System – Critically-Damped

Lecture 13: Second Order System – Overdamped

Lecture 14: Time Response Specifications of a 2nd Order System

Lecture 15: Peak Time And Maximum Percentage Overshoot

Lecture 16: Rise Time of Underdamped System

Lecture 17: Settling Time of Underdamped System

Lecture 18: Example 14

Lecture 19: Example 15

Lecture 20: Example 16

Lecture 21: First Order System in MATLAB

Lecture 22: Second Order System in MATLAB

Chapter 5: Control System Stability

Lecture 1: Stability of a System

Lecture 2: Routh-Hurwitz Criterion

Lecture 3: Example 17

Lecture 4: Example 18

Lecture 5: Example 19

Lecture 6: Example 20

Lecture 7: Steady State Error

Lecture 8: Steady State Error for Different Inputs and Systems

Lecture 9: Example 21

Chapter 6: Root-Locus Method

Lecture 1: Introduction to Root-Locus Method

Lecture 2: Sketching the Root-Locus Method

Lecture 3: Example 22

Lecture 4: Example 23

Lecture 5: The Angle of Departure and Angle of Arrival

Lecture 6: Example 24

Lecture 7: Example 25

Lecture 8: Root Locus and Time Response

Lecture 9: Example 26

Lecture 10: Root-Locus in MATLAB

Lecture 11: Root-Locus Using an Online Software

Chapter 7: Compensators in Control Systems

Lecture 1: Compensators in Control Systems

Lecture 2: Passive Lead and Lag Compensators

Lecture 3: Active Lead and Lag Compensators

Lecture 4: Example 27 – Design of Lead Compensators

Lecture 5: Example 28 – Design of Lead Compensators

Lecture 6: Design of Lag Compensators

Lecture 7: Example 29- Design of Lag Compensators

Lecture 8: Lead Compensator in MATLAB

Lecture 9: Lag Compensators in MATLAB

Chapter 8: PID Controllers

Lecture 1: Introduction to PID Controllers

Lecture 2: Effect of a P-Controller

Lecture 3: Effect of a PD-Controller

Lecture 4: Effect of a PI-Controller

Lecture 5: Effect of a PID-Controller

Lecture 6: Methods of Tuning PID Controllers

Lecture 7: Open Loop Ziegler-Nichols Method

Lecture 8: Closed Loop Ziegler-Nichols Method

Lecture 9: Open Loop Ziegler-Nichols Method – MATLAB

Lecture 10: Closed Loop Ziegler-Nichols Method – MATLAB

Lecture 11: How to Implement PID Controller in Simulink of MATLAB

Lecture 12: Tuning a PID Controller In MATLAB Simulink

Lecture 13: PID Tuning Using Particle Swarm Optimization Algorithm

Chapter 9: Polar Plot

Lecture 1: Introduction to Frequency Response Analysis

Instructors

Engr. Ahmed Mahdy
Top-Rated Bestselling Electrical Instructor | Researcher
Khadija Academy
Electricity Made Easy

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