Title

Ultimate Automatic Control Theory in Electrical Engineering

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

4.71 (39 reviews)

Udemy

platform

English

language

Engineering

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.

Understand the fundamental concepts of distributed generators (DGs) and their role in modern power systems.

Explore various DG technologies, including hydrogen fuel cells, ultra capacitors, and flywheel energy storage systems.

Learn about the significance and benefits of DGs in energy systems.

Study the classification of DGs and the role of Static Synchronous Generators (SSG).

Understand the control goals of an SSG, including managing active and reactive power in synchronous machines.

Gain proficiency in scalar control and the generation of switching signals for DGs.

Study vector control techniques, including open-loop and closed-loop control of SSGs.

Learn hysteresis current control (HCC) and how it is applied in DG systems.

Understand frame transformations, including Clarke and Park transforms, for converting three-phase systems to simpler forms.

Learn how these transformations are applied to real-world control scenarios through practical examples.

Explore space vector control and voltage orientation methods.

Understand phase-locked loops (PLL) and how to estimate grid voltage phasor angles.

Study the importance of adding filters with phase shifts to stabilize power generation systems.

Why take this course?

🎓 Course Title: Ultimate Automatic Control Theory in Electrical Engineering

🚀 Headline: Dive into the World of Control Systems with Our Expert-Led Course on Automatic Control Theory for Electrical Engineers!

Welcome to "Ultimate Automatic Control Theory in Electrical Engineering"! 🌟

Join us on an enlightening journey through the intricacies of automatic control theory, specifically tailored for electrical engineers. This course is your gateway to mastering the principles that govern dynamic systems and understand how to manipulate them effectively. With a blend of theoretical knowledge and practical applications, you'll be equipped with the tools necessary to excel in the field of electrical engineering.

What Students Will Learn from the Course:

Fundamentals of Control Systems:
- Comprehend the core principles of automatic control.
- Recognize the significance and myriad applications of control systems across various industries.
Mathematical Modeling:
- Create and analyze mathematical models for electrical and mechanical systems.
- Gain expertise in essential mathematical tools like Fourier Series, Fourier Transform, Laplace Transform, and Linear Time-Invariant (LTI) systems.
Block Diagram and Signal Flow Graph Techniques:
- Master the art of block diagrams and their reduction techniques to simplify complex system representations.
- Translate block diagrams into Signal Flow Graphs (SFG) and apply Mason's Formula for complex system analysis.
Time Response Analysis:
- Examine and interpret the time response of first and second-order systems, key for understanding dynamic behavior.
- Grasp important performance specifications such as rise time, peak time, overshoot, and settling time.
Stability Analysis:
- Apply the Routh-Hurwitz criterion to assess system stability.
- Calculate steady-state errors for various types of inputs and systems, ensuring robust system design.
Root-Locus and Frequency Response Methods:
- Sketch root-locus plots and analyze their impact on system behavior.
- Perform comprehensive frequency response analysis using polar plots, Nyquist criteria, and Bode plots to predict system performance under varying frequencies.
Compensators and PID Controllers:
- Design compensators to improve control system performance.
- Tune PID controllers with precision, leveraging methods like Ziegler-Nichols or advanced optimization techniques such as Particle Swarm Optimization.

Why Enroll in This Course?

This comprehensive course is meticulously structured to provide you with a robust understanding of control systems from the ground up. You'll delve into both theoretical and practical aspects, ensuring that by the end of this journey, you're not only well-versed in the subject matter but also confident in applying these concepts to real-world problems.

🎓 Ready to take control of your understanding of automatic control theory? Enroll now and transform your expertise in electrical engineering!