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Main
UQU Programs

Automatic Control

ME4143
4 hours English

Automatic Control

Automatic Control
ME4142 Mechanical Vibration
4 hours Two requisites
EE3232 Electrical Engineering
4 hours No requisites
1 Introduction to Control Systems: / History of Automatic Control / Understanding automatic control systems: definitions, components, applications and classifications. / Comparison between open loop control and closed loop control systems with examples
2 Laplace Transform: / Theory of Laplace transform and Inverse Laplace transform in linear time-invariant (LTI) systems. / Description of the Laplace transform properties. / Understanding the basics of partial fraction expansion (PFE) of complex algebraic equations
3 Ordinary Differential Equation (ODE) and Mathematical Modeling: / Solving ODE's using Laplace transform for dynamic systems. / Formulation of the mathematical model of mechanical and electrical systems. / Formulation of the transfer function of the mathematical model. / Modelling of a DC motor as an application of electromechanical systems. / Linearization of nonlinear systems / Description of time diary systems in the time domain and s-domain
4 Block Diagram and Signal Flow Graph: / Creation of a graphical representation of linear algebraic equations of control systems. / Understanding the rules of Block diagram reduction and signal-flow diagram reduction
5 State-space Modeling and Response: / State-space model representation of dynamic systems. / Understanding the time response and control of systems in state-space
6 Stability and Routh-Hurwitz criterion: / Theory of system stability: Stable, Unstable and Marginally Stable Responses. / Application of the Routh-Hurwitz stability criterion to analyze the stability of a high-order system
7 Steady-state Response: / Computation of steady-state error for a unity-feedback control system. / Understanding the system types of closed-loop system. / Cases of obtaining a zero steady state error
8 Transient Response: / Understand the first, second and higher order responses. / Describe the four damping types in dynamic systems: undamped, under-damped, critically damped and over-damped. / Study the properties used to measure the transient response of systems
9 MIDTERM Examination
10 Root Locus Analysis and Design: / Understanding the steps used for drawing root-locus plots / Theory of applying the Root-locus analysis to analyze system stability and the controller design according to the required specifications
11 Lead-Lag Compensators and PID Controllers / Design of Lead-Lag compensators using Root Locus / Understanding PD, PI and PID controllers in design. / Effects of proportional, integral and derivative controllers on system stability and performance
12 Frequency Response Analysis and Bode Diagram / Frequency response: definition, modeling and analysis / Frequency response function (FRF): definition, gain, phase, examples and resonant frequency / Bode plot: definition, gain margin, phase margin, phase angle and parameters
13 Nyquist Stability Criterion: / Nyquist stability criterion: definition, Nyquist plot, gain margin, phase margin and parameters. / Comparative study between bode plot and Nyquist plot / Bode and Nyquist plots using MATLAB. / Experimental determination of transfer function
14 Frequency Response: Parameters and Applications I / Gain Margin & Phase Margin Examples / Frequency Domain Specifications / Controller Design in Bode Plot (Gain, Lead, Lag)
15 Frequency Response: Parameters and Applications II / Frequency domain lead-lag compensator design / Frequency response shaping in MATLAB
16 Summary of Automatic Control
1.1 Mapped to: K2

Able to recognize the terminology, concepts and types of Automatic Control.

Teaching Strategy Lectures: given on topics as class progress, with especial consideration within the class to link the existing topic with students' existing knowledge and further with the general overview using real life examples. Review: review the content of each lecture and clarify any matters not understood. Lab: small groups of students are assigned to run a system and generate/collect performance data and further applying a technique to improve the system with a well-designed controller.
Assessment Methods As class/topics progress, assignments/homework are assigned and Quizzes are given; in addition, fill-in-blank knowledge item on the midterm and/or final exams are given.
1.2 Mapped to: K1

Able to Model Mechanical, Electrical and electro-mechanical Systems.

Teaching Strategy Lectures: given on topics as class progress, with especial consideration within the class to link the existing topic with students' existing knowledge and further with the general overview using real life examples. Review: review the content of each lecture and clarify any matters not understood. Lab: small groups of students are assigned to run a system and generate/collect performance data and further applying a technique to improve the system with a well-designed controller.
Assessment Methods As class/topics progress, assignments/homework are assigned and Quizzes are given; in addition, fill-in-blank knowledge item on the midterm and/or final exams are given.
1.3 Mapped to: K1

Able to analyze any system through its Transfer Function.

Teaching Strategy Lectures: given on topics as class progress, with especial consideration within the class to link the existing topic with students' existing knowledge and further with the general overview using real life examples. Review: review the content of each lecture and clarify any matters not understood. Lab: small groups of students are assigned to run a system and generate/collect performance data and further applying a technique to improve the system with a well-designed controller.
Assessment Methods As class/topics progress, assignments/homework are assigned and Quizzes are given; in addition, fill-in-blank knowledge item on the midterm and/or final exams are given.
1.4 Mapped to: K1

Able to interpret responses of controlled systems.

Teaching Strategy Lectures: given on topics as class progress, with especial consideration within the class to link the existing topic with students' existing knowledge and further with the general overview using real life examples. Review: review the content of each lecture and clarify any matters not understood. Lab: small groups of students are assigned to run a system and generate/collect performance data and further applying a technique to improve the system with a well-designed controller.
Assessment Methods As class/topics progress, assignments/homework are assigned and Quizzes are given; in addition, fill-in-blank knowledge item on the midterm and/or final exams are given.
1.5 Mapped to: K1

Able to describe different techniques for designing a controller.

Teaching Strategy Lectures: given on topics as class progress, with especial consideration within the class to link the existing topic with students' existing knowledge and further with the general overview using real life examples. Review: review the content of each lecture and clarify any matters not understood. Lab: small groups of students are assigned to run a system and generate/collect performance data and further applying a technique to improve the system with a well-designed controller.
Assessment Methods As class/topics progress, assignments/homework are assigned and Quizzes are given; in addition, fill-in-blank knowledge item on the midterm and/or final exams are given.
1.6 Mapped to: K2

Able to design a controller for a system according to given specifications.

Teaching Strategy Lectures: given on topics as class progress, with especial consideration within the class to link the existing topic with students' existing knowledge and further with the general overview using real life examples. Review: review the content of each lecture and clarify any matters not understood. Lab: small groups of students are assigned to run a system and generate/collect performance data and further applying a technique to improve the system with a well-designed controller.
Assessment Methods As class/topics progress, assignments/homework are assigned and Quizzes are given; in addition, fill-in-blank knowledge item on the midterm and/or final exams are given.
2.1 Mapped to: S1

Able to use knowledge of Automatic Control concepts and techniques in solving/designing Control problems of various systems.

Teaching Strategy Many engineering application examples given in lectures along with class materials as class progress. Learning encouraged through discussion of potential application in different areas.
Assessment Methods Problem solving questions are given at the end of each topic, on midterm exam and on end of semester examination.
2.2

Ability to illustrate techniques effectively by modelling and controlling a system.

Teaching Strategy Students need to submit a written report. In addition, students make a formal presentation of the work.
Assessment Methods Test questions require interpretation of techniques and results. Assessments of students assignment work include expectation of adequate use of numerical and communication skills.
3.1 Mapped to: V2

Work in teams in performing control experiments in the laboratory.

Teaching Strategy Presenting the work in a group. Submitting team reports for the laboratory experiments.
Assessment Methods Evaluation of submitted reports and presentation.
Assessment
Weight
Homework assignments
5%
Quizzes
10%
Lab Reports
15%
Case studies Presentations/Reports
10%
Midter Exam
20%
Final Exam
40%
Total
100%