Course Syllabus
Introduction to Control Systems and Mathematical Review
1.1 Definition and Concepts.
1.2 Review of Laplace Transform
1.3 Elements of Control Systems.
1.4 Open-loop and Closed-loop Systems.
1.5 Types of Controllers and Control Actions
1.6 Introduction to Simulation Tool for Control System Design
System Model Representation
2.1 Transfer Function.
2.2 State Space Representation.
2.3 Block Diagram Representation
2.4 Signal Flow Diagram.
Mathematical Modeling of Engineering Systems
3.1 Mechanical Systems.
3.2 Electrical Systems.
3.3 Electromechanical Systems.
System Performance Analysis
4.1 First Order Systems
4.2 Second Order Systems: Transient and Steady State Response
4.3 Routh Hurwitz Stability criteria.
4.4 Root Locus Methods.
Frequency Response Analysis
5.1 Bode Plot.
5.2 Nyquist Plot.
5.3 Stability Analysis
1.1 Definition and Concepts.
1.2 Review of Laplace Transform
1.3 Elements of Control Systems.
1.4 Open-loop and Closed-loop Systems.
1.5 Types of Controllers and Control Actions
1.6 Introduction to Simulation Tool for Control System Design
System Model Representation
2.1 Transfer Function.
2.2 State Space Representation.
2.3 Block Diagram Representation
2.4 Signal Flow Diagram.
Mathematical Modeling of Engineering Systems
3.1 Mechanical Systems.
3.2 Electrical Systems.
3.3 Electromechanical Systems.
System Performance Analysis
4.1 First Order Systems
4.2 Second Order Systems: Transient and Steady State Response
4.3 Routh Hurwitz Stability criteria.
4.4 Root Locus Methods.
Frequency Response Analysis
5.1 Bode Plot.
5.2 Nyquist Plot.
5.3 Stability Analysis
Frequently Asked Questions
Q1 : Why do we need to learn Control Engineering?
A1 : This course provides the essential knowledge and skills in embarking to develop mathematical modeling and control engineering, models of industrial control devices and systems, analyze using basic concepts and principles of feedback controls, describe system stability and its criteria, performance specifications, frequency response analysis, control system design via state-space formulation, and control design applications..
A1 : This course provides the essential knowledge and skills in embarking to develop mathematical modeling and control engineering, models of industrial control devices and systems, analyze using basic concepts and principles of feedback controls, describe system stability and its criteria, performance specifications, frequency response analysis, control system design via state-space formulation, and control design applications..