Control Engineering

ELEC B321H

Module Name (Kurdish)

ئەندازیاریا  کونترۆلێ

Module Name (Arabic)

هندسة السيطرة

Contact Hours/Week (Theory)

3

Contact Hours/Week (Practical)

2

Self-study Hours/Week

5

Language of Instruction

English

Semester Delivered

6

Credits (ECTS)

6

Module Type

Core

Version Number

1.0

Version Date

 20-1-2025

Prerequisite 1

Differential Equations

Code

 EBME B325H

Co-requisite

Code

Dept. /College

 Biomedical Engineering/Engineering

Code

 ELCE/ENG

Owner Dept. /College

 Biomedical Engineering/Engineering

Code

 ELCE/ENG

Module Coordinator

 Mohammed Subhi Hadi

Email

Mohammed.subhi@uod.ac

Module Overview

This course introduces the fundamental concepts and techniques of control systems, focusing on the analysis, modeling, and design of systems in engineering. Topics include transfer functions, block diagram reduction, state-space representation, time and frequency response analysis, stability assessment, and compensator design. The practical part of the course will expose the student to hands on experience in control systems and simulation using MATLAB. 

Learning Outcomes

·        Explain the fundamental concepts of control systems, including their purpose, configurations, and applications.

·        Develop mathematical models for various physical systems, including electrical, mechanical, and hydraulic systems.

·        Perform time response analysis of first- and second-order systems, including transient and steady-state characteristics.

·        Assess the stability of control systems using techniques like Routh tables and interpret special cases.

·        Design feedback control systems to meet specified performance requirements, including steady-state error and transient response criteria.

·        Apply root locus techniques to analyze and design control systems for improved performance.

·        Use frequency response methods, such as Bode plots, to evaluate system stability, gain and phase margins, and bandwidth.

·        Design compensators, such as lag compensators, to optimize system performance and achieve desired specifications.

Topics Covered

·        Introduction to control systems

o   Definitions and classification of systems

o   Recap of Laplace Transform and Solving ODE

·        Transfer functions

·        Reduction of multiple subsystems: Block diagrams

·        Mathematical modelling

o   Modelling different physical systems principles  

o   Electrical systems modeling

o   Mechanical (Transitional and Rotational) systems modeling

o   Hydraulic systems modeling

·        State space

o   State-space representation for a linear, time invariant system

o   Model electrical and mechanical systems in state space

o   Convert a transfer function to state space

·        Time response

o   Response of first-order systems.

o   Response of second-order systems

o   damping ratio and natural frequency of a second-order system

o   settling time, peak time, percent overshoot, and rise time for an underdamped second-order system.

·        Stability

o   Routh Hurwitz criterion

o   Routh table to determine the stability

·        Steady-state error

o   steady-state error for unity feedback systems

o   system types

o   Gain selection of a closed-loop system.

·        Root locus technique

o   Root locus definition and properties state.

o   Sketching a root locus.

o   Finding the coordinates of points on the root locus and their associated gains.

·        Design via root locus technique

o   Compensation via Root Locus

o   Lead compensator

o   Lag compensator

o   Lead-Lag compensator

·        Frequency response techniques: Bode plots

o   Define and plot the frequency response of a system

o   Plot asymptotic approximations to the frequency response of a system

Mode of Delivery

This module is delivered in person and includes classes, tutorials and lab sessions that the student should attend. Maximum of 10% absence is permitted.

Assessment Methods and Grading

The grading and assessment of this module is done as below:

·        5% Homework

·        5% Classwork

·        10% Quizzes

·        10% Lab. Reports and quizzes

·        10% Lab. final project

·        20% One mid semester exam

·        40% Theory final exam

Passing Requirements

To pass this module successfully, the student should:

·        complete all course requirements

·        do the final lab project presentation

·        do the final theory exam

·        get a total score of 50 or greater

Module Reading List and References‌

1.            Modern Control Systems" by R. Dorf and R. H. Bishop, Pearson Prentice-Hall, 12th Ed.2008.

2.            Modern Control Engineering" by K. Ogata, Prentice Hall, 5th Ed., 2009.

3.            Normans S. Nise, Control Systems Engineering, 6th Edition, John Wiely & Sons, Inc., 2011.