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Ultimate Automatic Control Theory in Electrical Engineering

Learn about automatic control including root-locus, PID, compensators, bode plot, and Nyquist for electrical engineering

Provided by Khadija Academy

Summary

Price
£49.99 inc VAT
Study method
Online, On Demand What's this?
Duration
24.9 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

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Overview

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.

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Curriculum

12
sections
144
lectures
24h 54m
total

    • 1: Watch This for the Course Content Preview 04:20
    • 2: Introduction to Automatic Control 16:13
    • 3: Course Slides and Files 14:00 PDF
    • 4: Mathematical Modelling of the System 05:00
    • 5: Fourier Series and Fourier Transform 14:14
    • 6: Laplace Transform (S-Domain) 08:31
    • 7: Linear Time Invariant (LTI) Systems 10:41
    • 8: Example 1 02:51
    • 9: Types of Electrical Systems 09:21
    • 10: Example 2 04:08
    • 11: Example 3 03:28

    • 12: Block Diagrams In Control Systems 03:07
    • 13: Block Diagram Reduction 07:28
    • 14: Feedback Connection 04:34
    • 15: Example 4 14:43
    • 16: Example 5 04:45

    • 17: What is a Signal Flow Graph (SFG)? 04:17
    • 18: Definitions in Signal Flow Graphs 10:16
    • 19: Steps to Convert Block Diagram to SFG 04:59
    • 20: Example 6 03:16
    • 21: Mason’s Formula 03:55
    • 22: Example 7 08:39
    • 23: Example 8 10:31
    • 24: Algebra of Signal Flow Graph 08:26
    • 25: Example 9 03:11
    • 26: Example 10 01:42
    • 27: Example 11 14:24

    • 28: Introduction to Time Response Analysis 02:46
    • 29: Types of Inputs 11:16
    • 30: Types of Transfer Functions 05:00
    • 31: First Order System – Impulse Response 08:01
    • 32: First Order System – Unit Step Response 14:03
    • 33: First Order System – Unit Ramp Response 14:51
    • 34: Time Response Specifications of a 1st Order System 09:05
    • 35: Example 12 06:46
    • 36: Example 13 05:49
    • 37: Second Order System 14:38
    • 38: Second Order System - Underdamped 23:48
    • 39: Second Order System - Critically-Damped 09:31
    • 40: Second Order System - Overdamped 08:54
    • 41: Time Response Specifications of a 2nd Order System 03:09
    • 42: Peak Time And Maximum Percentage Overshoot 14:36
    • 43: Rise Time of Underdamped System 08:42
    • 44: Settling Time of Underdamped System 08:02
    • 45: Example 14 02:24
    • 46: Example 15 11:05
    • 47: Example 16 05:06
    • 48: First Order System in MATLAB 04:28
    • 49: Second Order System in MATLAB 08:12

    • 50: Stability of a System 20:17
    • 51: Routh-Hurwitz Criterion 10:04
    • 52: Example 17 07:54
    • 53: Example 18 16:11
    • 54: Example 19 04:03
    • 55: Example 20 07:15
    • 56: Steady State Error 17:42
    • 57: Steady State Error for Different Inputs and Systems 15:31
    • 58: Example 21 07:28

    • 59: Introduction to Root-Locus Method 27:20
    • 60: Sketching the Root-Locus Method 12:56
    • 61: Example 22 18:29
    • 62: Example 23 12:35
    • 63: The Angle of Departure and Angle of Arrival 13:04
    • 64: Example 24 11:45
    • 65: Example 25 10:31
    • 66: Root Locus and Time Response 09:45
    • 67: Example 26 16:56
    • 68: Root-Locus in MATLAB 04:58
    • 69: Root-Locus Using an Online Software 02:07

    • 70: Compensators in Control Systems 10:32
    • 71: Passive Lead and Lag Compensators 11:49
    • 72: Active Lead and Lag Compensators 10:03
    • 73: Example 27 - Design of Lead Compensators 30:31
    • 74: Example 28 - Design of Lead Compensators 23:43
    • 75: Design of Lag Compensators 16:24
    • 76: Example 29- Design of Lag Compensators 05:21
    • 77: Lead Compensator in MATLAB 06:43
    • 78: Lag Compensators in MATLAB 20:07

    • 79: Introduction to PID Controllers 11:38
    • 80: Effect of a P-Controller 15:07
    • 81: Effect of a PD-Controller 06:28
    • 82: Effect of a PI-Controller 07:00
    • 83: Effect of a PID-Controller 04:36
    • 84: Methods of Tuning PID Controllers 01:44
    • 85: Open Loop Ziegler-Nichols Method 11:33
    • 86: Closed Loop Ziegler-Nichols Method 07:11
    • 87: Open Loop Ziegler-Nichols Method - MATLAB 11:09
    • 88: Closed Loop Ziegler-Nichols Method - MATLAB 17:05
    • 89: How to Implement PID Controller in Simulink of MATLAB 14:07
    • 90: Tuning a PID Controller In MATLAB Simulink 17:19
    • 91: PID Tuning Using Particle Swarm Optimization Algorithm 29:02

    • 92: Introduction to Frequency Response Analysis 04:02
    • 93: Steps of Frequency Response Analysis 06:44
    • 94: Understanding Frequency Response Analysis Using Simulink 08:50
    • 95: Polar Plot 08:11
    • 96: Example 30 17:06
    • 97: Example 31 08:03
    • 98: Example 32 13:48
    • 99: Example 33 08:47

    • 100: Mapping and Cauchy Principle 16:15
    • 101: Nyquist Criterion 16:26
    • 102: Nyquist Criterion in MATLAB 05:54
    • 103: Example 34 on Nyquist Criterion 31:13
    • 104: Example 35 on Nyquist Criterion 29:05
    • 105: Example 36 on Nyquist Criterion 18:56
    • 106: Introduction to Relative Stability 09:48
    • 107: Phase Margin (PM) 06:38
    • 108: Gain Margin (GM) 06:44
    • 109: Example 37 07:24
    • 110: Understanding GM Using MATLAB, Root Locus, and Nyquist 12:29
    • 111: Effect of PM on GM 10:42

    • 112: Introduction to Bode Plot 10:32
    • 113: Decibel Scale 09:11
    • 114: Constant Gain Representation 05:25
    • 115: Differentiator Representation 10:23
    • 116: Integrator Representation 06:24
    • 117: First-Order Representation 17:01
    • 118: Second-Order Representation 08:16
    • 119: Steps of Bode Plot 04:06
    • 120: Example 38 15:49
    • 121: Example 39 12:48
    • 122: Example 40 08:02
    • 123: Mathematical Relations in the Bode Plot 09:33
    • 124: Example 41 03:43
    • 125: Minimum Phase System 08:21
    • 126: Non-Minimum Phase System 08:37
    • 127: Exact and Approximate Bode Plots 09:13
    • 128: Transfer Function Identification From Bode Plot 05:24
    • 129: Example 42 05:34
    • 130: Example 43 05:23
    • 131: Example 44 05:26
    • 132: Example 45 15:20
    • 133: Gain Margin and Phase Margin in Bode Plot 08:13
    • 134: Example 46 07:19
    • 135: PM and GM of Bode Plot in MATLAB 06:05

    • 136: Performance Parameters 03:39
    • 137: Effect of Gain (K) on Bode Plot 06:53
    • 138: Bode Plot of a Lead Compensator 22:55
    • 139: Design of Lead Compensator In Bode Plot 14:22
    • 140: Example 47 on Design of Lead Compensator 12:35
    • 141: Bode Plot of a Lag Compensator 12:48
    • 142: Design of Lag Compensator In Bode Plot 10:34
    • 143: Example 48 on Design of Lag Compensator 11:15
    • 144: Bode Plot of Lead and Lag Compensators in MATLAB 08:28

Course media

Description

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.

Who is this course for?

  • 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.

Requirements

Basic mathematics

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Provider

Khadija Academy

Khadija Academy was founded by engineer Ahmed Mahdy who is an electrical power engineer and a researcher. He is also an electrical bestselling instructor at more than 30 platforms, teaching electrical engineering, and has helped more than 80,000 students from 198 countries achieve career success with simple and easy courses.​ He is currently the top-ranked (1st) in the engineering sector of Udemy. 

He had received the award for the best master's thesis in the Faculty of Engineering - Ain Shams University for 2022/2023.


Some of his published research works in the top electrical engineering journals worldwide:


1- ​Transient stability improvement of wave energy conversion systems connected to power grid using anti-windup-coot optimization strategy - Energy Journal - Impact Factor of 9.0.


2-  Nonlinear Modeling and Real-Time Simulation of a Grid-Connected AWS Wave Energy Conversion System - IEEE Transactions on Sustainable Energy - Impact Factor of 8.8.


3- Modeling and optimal operation of hybrid wave energy and PV system feeding supercharging stations based on golden jackal optimal control strategy -  Energy Journal - Impact Factor of 9.​0.


4- State-of-the-Art of the most commonly adopted wave energy conversion systems - Ain Shams Engineering Journal - Impact Factor of 6.0.


5- Optimal Design of Fractional-Order PID Controllers for a Nonlinear AWS Wave Energy Converter Using Hybrid Jellyfish Search and Particle Swarm Optimization - Fractal and Fractional - Impact Factor of 5.4


6- Dynamic performance enhancement of nonlinear AWS wave energy systems based on optimal super-twisting control strategy - Ain Shams Engineering Journal - Impact Factor of 6.0.

 

View Khadija Academy profile

Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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