Description
Welcome to our course, “Comprehensive Automatic Control Theory in Electrical Engineering,” designed to provide in-depth knowledge of automated control theory from the foundational level, specifically for electrical engineers.
The course contains 139 topics in 24h 35m total length.
The course begins with the fundamentals of control systems, encompassing the essential principles of automatic control. Students will acquire knowledge regarding the significance and applicability of control systems across different industries.
Next, Mathematical Modelling is addressed. We will formulate mathematical models for electrical and mechanical systems. Students will acquire expertise in Fourier Series, Fourier Transform, Laplace Transform, and Linear Time-Invariant (LTI) systems.
The third chapter is devoted to Block Diagram and Signal Flow Graph Techniques. Students will acquire proficiency in block diagrams and their reduction procedures, as well as the conversion of block diagrams into Signal Flow Graphs (SFG) and the application of Mason’s Formula.
Time Response Analysis is critically significant in Automation and Control systems and is addressed in the following chapter. We shall examine the time response of first and second-order systems. This chapter explains essential criteria such as rise time, peak time, and settling time.
The fifth chapter pertains to Stability Analysis. We will assess system stability via the Routh-Hurwitz criterion and compute steady-state errors for various inputs and systems.
The next section provides a comprehensive explanation of Root-Locus and Frequency Response Methods. Students will acquire the skills to construct root-locus plots and evaluate their impact on system dynamics.
We will conduct frequency response analysis utilizing polar plots, Nyquist criteria, and Bode plots.
The seventh chapter addresses critical issues, specifically Compensators and PID Controllers. Students will acquire the skills to develop and implement various compensators in control systems, along with a comprehensive understanding and tuning of PID controllers utilizing techniques such as Ziegler-Nichols and Particle Swarm Optimization.
Course Summary
- Mathematical Modelling of Systems
- Block Diagram Reduction
- Signal Flow Graph
- Time Response Analysis
- Control System Stability
- Root-Locus Method
- Compensators in Control Systems
- PID Controllers
- Polar Plot
- Nyquist Criterion
- Bode Plot
- Design of Compensators Using Bode Plot
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.
Reviews
There are no reviews yet.