Modeling and Feedback Systems
Course provided by Model Institute of Engineering & Technology
5 modules
Master Drone Technology for Environmental Science
5 Level NCrF
National Credit Framework
60 Hours
Flexible Learning
Beginner Level
No prior experience required
Micro Course
02 Credit
Course Overview
To provide learners with a solid foundation in the modeling of dynamic systems and the principles of feedback control. The course focuses on the use of Laplace transforms, transfer functions, response analysis, and stability assessment methods essential for designing and analyzing control systems
Key Learning Highlights
Fundamentals of control systems, feedback principles, and Laplace transforms for analyzing differential equations.
Modeling of dynamic systems using mechanical/electrical laws and deriving transfer function representations.
System representation through block diagrams, signal flow graphs, and simplification techniques.
Time-domain analysis of first- and second-order systems, including step response, rise time, overshoot, and steady-state error.
System stability evaluation using BIBO criteria, Routh–Hurwitz method, and assessing stability margins and robustness.
Tools & Platforms Used
Learning Outcome
By the end of this course, students will be able to:
Explain the fundamentals of control theory and dynamic system modeling.
Derive system equations using Newton’s and Kirchhoff’s laws.
Represent systems in the Laplace domain and obtain transfer functions.
Use block diagram manipulation techniques for system simplification.
Analyze transient and steady-state responses of control systems.
Apply BIBO stability concepts and perform Routh stability analysis.
Master the course with just 5 Modules
This course introduces control theory and dynamic system modeling, covering Laplace transforms, transfer functions, and block diagram techniques. Students learn to analyze system responses and assess stability using BIBO criteria and Routh–Hurwitz methods, focusing on transient and steady-state performance.
Fundamentals of Control Theory and Laplace Transforms
Introduction to control systems and feedback principles
Laplace transform: properties and application to differential equations
Concepts of linearity, causality, and time-invariance
Modeling of Dynamic Systems
Mechanical and electrical system modeling
Newton’s and Kirchhoff’s laws in modeling
Derivation of differential equations
Conversion to transfer function representation
System Representation and Block Diagrams
Signal flow graphs and block diagram algebra
Simplification of complex systems
Initial and Final Value Theorems
System response characteristics
Time-Domain Analysis
Step response analysis
First and second-order system performance
Rise time, overshoot, settling time, and steady-state error
System Stability
BIBO stability
Routh–Hurwitz stability criterion
Stability margins and system robustness
