Control System Engineering
The control system is that means by which any quantity of interest in a machine, mechanism, or other equipment is maintained or altered in accordance with a desired manner.
SKU- Control Engineering is an online training course designed for the students. Different topics are explained with flash animations and suitable illustrative examples. Interactive simulations are provided for clear understanding of the concepts.
The course prepares very carefully a background of each topic with essential illustration and practical examples and then step by step gives the complex derivation and explanation.
Unit 1: Introduction to the Control Problem
In this unit we have cover the basic Control System Terminology viz. open loop & close loop system, Servomechanism, Feed forward & Feedback control, Digital Control, Multivariable Control System, Non-Linear Control System.
Modelling Techniques for Physical System:
Differential Modelling of Physical Systems, Linear Approximations of Physical Systems, and The Laplace Transform, The transfer function of linear system, Block Diagram algebra, and Signal Flow graphs.
Control System Components & Their Mathematical Modeling:
S.C. Servomotors, A.C. Servomotors, Pneumatic devices for control, Hydraulic Devices for control, Synchros, A/D Converters.
Unit 2: Feedback Control System Characteristics
This unit explains, the Sensitivity of control systems to parameter variation, Control over the dynamics of the system, Disturbance signals in a feedback control system, Steady-state Error.
Time Response Studies:
Difference of time response, Test input signals, model of prototype D.C. position control system, Time response of prototype second order system, Performance specifications of the
prototype 2nd order system, Effects of additions of poles and zeros to open loop & close loop transfer functions, time response of higher order s, stems & concept of dominant pole, Steady-state error constants for type 0, 1 & @ systems, Need for compensation for the prototype 2nd order system.
Unit 3: Time Domain Stability Analysis
This unit covers the Concept of stability of linear systems, bounded input bounded output / zero-input stability, The routh stability criteria, Stability range for a parameter, Co-relation between the closed loop poles & stability, The Root-locus concept, Guidelines for sketching Root-locus, Elementary idea of reshaping the Root-locus, Root-locus of systems with Dead time , Root sensitivity.
Frequency Domain Analysis of Control System
Performance specification in frequency domain, Co-relation between frequency domain & time domain, Polar plots, Bode plots, Nicholas Charts, Determination of system transfer function from experimental data.
Stability Analysis in Frequency Domain
Development of Nyquist Criteria stability margins, Relative stability using Nyquist and border plots, Systems with dead time.
Design of feedback control systems
Approaches to system design, Cascade compensation networks, Design of Compensators in Time & Frequency domain, Examples of proportional, PD & PID mode of control.
Unit 4: State Variable Techniques
In this unit we have explain the State variable representation for an LTI system, Different Counouical forms, Co- relation between state models & Transfer function, Solution Of State Equations, Concepts of controllability & observability.
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