• views: 249
• date: 18 August 2026
• posted by: voska89

What you'll learn

On completion of the course, students will be able to 1. Develop the mathematical model of the physical systems and find its transfer function using
Student will be able to Determine time domain specifications of a second order system and analyse its response. And Stability of the system using rootlocus
able to Construct Bode plot, Nyquist plot for a given system and analyse its stability.
able to Analyse MIMO system or dynamic systems using state variable approach

Requirements

No programming

Description

On completion of the course, students will be able to
1. Develop the mathematical model of the physical systems and find its transfer function using electrical systems
2. Determine time domain specifications of a second order system and analyse its response. And Stability of the system using rootlocus
3. Construct Bode plot, Nyquist plot for a given system and analyse its stability.
4. Design a compensator/ controller to meet desired specifications.
5. Analyse MIMO system or dynamic systems using state variable approach
Control System fundamentals and Components: Classification of control systems, Open and Closed loop systems. Mathematical modelling of mechanical systems and their conversion into electrical systems. Block diagram reduction and Signal flow graphs.
Transfer function and Impulse response, types of input. Transient response of second order system for step input. Time domain specifications. Types of systems, static error coefficients, Routh - Hurwitz criterion for stability. Root locus techniques: Analysis of typical systems using root locus techniques. Effect of location of roots on system response.
Frequency domain specifications, bode plots, Gain margin and Phase Margin. Principle of argument, Nyquist plot and Nyquist criterion for stability
Introduction to compensators, Lag compensator, Lead compensator, Lag- Lead compensator, Design of compensators. Controllers: Introduction to controllers, P, I, D, PI, PD, PID controllers
Concept of state and state variables. State models of linear time invariant systems, State transition matrix, Solution of state equations. Controllability and observability.

Who this course is for

Control systems

Homepage

https://www.udemy.com/course/learn-control-systemsautomatic-control-systemsfrom-scratch

   
   
   

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