ELEC3304: Control (2010 - Semester 2)

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Unit: ELEC3304: Control (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Senior
Faculty/School: School of Electrical & Computer Engineering
Unit Coordinator/s: Dr Shrivastava, Yash
Session options: Semester 2
Versions for this Unit:
Site(s) for this Unit: <a href=``http://www.eelab.usyd.edu.au/ELEC3304/details`` target=``_blank`` title=``Opens in new window.``>http://www.eelab.usyd.edu.au/ELEC3304/details</a>
Campus: Camperdown/Darlington
Pre-Requisites: ELEC2302 AND MATH2061.
Prohibitions: AMME3500.
Brief Handbook Description: This unit is mainly concerned with the application of feedback control to continuous-time, linear time-invariant systems. It aims to give the students an appreciation of the possibilities in the design of control and automation in a range of application areas. The concepts learnt in this unit will be made use of heavily in many units of study in the areas of communication, control, electronics, and signal processing.

The following specific topics are covered: Modelling of physical systems using state space, differential equations, and transfer functions, dynamic response of linear time invariant systems and the role of system poles and zeros on it, simplification of complex systems, stability of feedback systems and their steady state performance, Routh-Hurwitz stability criterion, sketching of root locus and controller design using the root locus, Proportional, integral and derivative control, lead and lag compensators, frequency response techniques, Nyquist stability criterion, gain and phase margins, compensator design in the frequency domain, state space design for single input single-output systems, pole placement state variable feedback control and observer design.
Assumed Knowledge: Specifically the following concepts are assumed knowledge for this unit: familiarity with basic Algebra, Differential and Integral Calculus, Physics; solution of linear differential equations, Matrix Theory, eigenvalues and eigenvectors; linear electrical circuits, ideal op-amps; continuous linear time-invariant systems and their time and frequency domain representations, Laplace transform, Fourier transform.
Lecturer/s: Dr Shrivastava, Yash
Timetable: ELEC3304 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 12
2 Tutorial 2.00 1 8
3 Laboratory 3.00 1 4
4 Independent Study 2.00
T&L Activities: Tutorial: Tutorials are devoted to practicing basic concepts covered in the lectures and understanding how more complex tasks can be handled by putting these basic concepts together. The focus is on active learning and the group work and discussion is encouraged. The students also get to present their solutions to the rest of the class

Laboratory: Labs are devoted to hands on experience with real control systems. Students will do the modeling, make measurements and design control schemes for the lab equipment. They will also present their results in the format of lab reports.

Independent Study: Students need to do some preparation for tutorials and labs. they may also need to read the text and other references to fully master the basic concepts covered in the lectures.

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Extensive design and analysis work is done in tutorials and labs. Design and Problem Solving Skills (Level 3)
Gain an understanding of the basic concepts in control theory. It builds on the previous knowledge gained in circuits, physics, and signals and systems. Discipline Specific Expertise (Level 3)
Gain an ability to apply the principles of feedback control to electrical, mechanical, and biological systems. Fundamentals of Science and Engineering (Level 3)
Need to read and understand the text, lecture notes, lab procedures. Information Skills (Level 2)
Students need to work in groups and present their solutions to the rest of the class during tutorials. They also need to write lab reports. Professional Communication (Level 3)
Group work in labs and tutorials. Teamwork and Project Management (Level 2)

For explanation of attributes and levels see Engineering/IT Graduate Attribute Matrix 2009.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Design and Problem Solving Skills (Level 3)
1. Ability to conduct lab experiments and take measurements to perform a model identification for a particular engineering problem.
2. Ability to design and test feedback control schemes for the lab equipment to achieve different performance requirements.
Discipline Specific Expertise (Level 3)
3. Ability to analyse the dynamic response of linear time invariant systems and the role of system poles and zeros on it.
4. Ability to simplify complex system consisting of interconnections of many linear subsystems.
5. Ability to determine the stability of feedback systems and their steady state performance.
6. Ability to design simple controllers to achieve stability and transient performance requirements using root locus, frequency response and state space techniques.
Fundamentals of Science and Engineering (Level 3)
7. Ability to model physical systems (e.g. electrical, mechanical, and electromechanical systems) using state space, differential equations, and transfer functions.
Information Skills (Level 2)
8. Ability to recognise the limits of the information presented in the lectures and target information searches through varied sources and formats so as to synthesise information relevant to the specific topic at hand.
Professional Communication (Level 3)
9. Ability to make written and oral presentations in the form of lab reports and tutorial presentations.
Teamwork and Project Management (Level 2)
10. Ability to work in a team to discuss and draw upon the ideas and knowledge of others to solve and present tutorial problems and conduct lab experiments.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Lab Skills Yes 7.00 Multiple Weeks 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
2 Participation Yes 8.00 Multiple Weeks 3, 4, 5, 6, 7, 8, 9, 10,
3 Mid-Sem Exam No 25.00 Week 9 3, 4, 5, 6, 7,
4 Final Exam No 60.00 Exam Period 3, 4, 5, 6, 7,
Assessment Description: Lab Skills: Four labs scheduled through the semester

Participation: Eight tutorials through the semester.

Mid-Sem Exam: Mid semester exam giving a practice for the final exam and providing through term assessment and feedback.

Final Exam: Final Exam
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: The faculty attempts to maintain consistency and quality in its T&L operations by adhering to Academic Board policy. These policies can be found on the Central Policy Online site. A brief summary of the relevant T&L policies that should be referred to while filling in these forms can be found at the Faculty of Engineering and Information Technologies Policy Page.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.
  • Control Systems Engineering
Online Course Content: http://www.eelab.usyd.edu.au/ELEC3304/details

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Introduction and review of Laplace Transform.
Week 2 Modeling of physical systems.
Week 3 Modeling of physical systems and linearization of nonlinear systems.
Week 4 Time response of linear systems.
Week 5 System reduction.
Week 6 Stability of linear systems, Routh-Hurwitz criterion, and steady state errors.
Week 7 Steady state errors, sensitivity, and root locus techniques.
Week 8 Controller design using root locus.
Week 9 Midterm exam.
Assessment Due: Mid-Sem Exam
Week 10 Controller design using root locus.
Week 11 Frequency response and Bode plots.
Week 12 Nyquist criterion for stability and controller design using frequency response techniques.
Week 13 Controller design using state space techniques.
Exam Period Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Electrical Engineering (Bioelectronics) / Arts 2011, 2012
Electrical Engineering (Bioelectronics) / Commerce 2011, 2012
Electrical Engineering (Bioelectronics) / Medical Science 2011, 2012
Electrical Engineering (Bioelectronics) / Science 2011, 2012
Electrical Engineering (Bioelectronics) / Law 2011, 2012
Electrical Engineering (Power) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Commerce 2010, 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Law 2010, 2011, 2012, 2013, 2014
Electrical / Project Management 2019+ 2023, 2024, 2025, 2026, 2019, 2020, 2021, 2022
Electrical Engineering 2023, 2024, 2025, 2026, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Arts 2023+ 2023, 2024, 2025, 2026
Electrical / Commerce 2023+ 2023, 2024, 2025, 2026
Electrical / Commerce 2023+ (mid-year) 2025, 2026
Electrical / Science 2023, 2024, 2025, 2026, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Science - Mid Year 2023, 2024, 2025, 2026
Electrical / Law 2023+ 2023, 2024, 2025, 2026
Electrical Engineering (mid-year) 2023, 2024, 2025, 2026, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Computer Engineering / Commerce 2010
Electrical Engineering / Arts 2011, 2012, 2013, 2014
Electrical Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Electrical Engineering / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Commerce 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Medical Science 2011, 2013, 2014
Electrical Engineering (Computer) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Law 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Commerce 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Law 2011, 2012, 2013, 2014
Biomedical Engineering (mid-year) 2016, 2017, 2018, 2019, 2020
Biomedical Engineering 2016, 2017, 2018, 2019, 2020
Electrical / Arts (2022 and earlier) 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Commerce 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Project Management 2015, 2016, 2017, 2018
Electrical / Law 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software Engineering (mid-year) 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Software / Project Management 2019+ 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Software Engineering 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Software / Arts (2022 and earlier) 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Arts 2023+ 2023, 2024, 2025, 2026
Software / Commerce 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Commerce 2023+ 2023, 2024, 2025, 2026
Software / Commerce 2023+ (mid-year) 2025, 2026
Software / Project Management 2016, 2017, 2018
Software / Science 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
Software / Science (Health) 2018, 2019, 2020, 2021, 2022, 2026
Software / Science - Mid Year 2023, 2024, 2025, 2026
Software / Law 2016, 2017, 2018, 2019, 2020, 2021, 2022
Software / Law 2023+ 2023, 2024, 2025, 2026
Software Engineering / Arts 2011, 2012, 2013, 2014
Software Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Software Engineering / Medical Science 2011, 2012, 2013, 2014
Software Engineering / Science 2011, 2012, 2013, 2014
Software / Science (Medical Science Stream) 2018, 2019, 2020, 2021, 2022, 2026

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Design and Problem Solving Skills (Level 3) Yes 1.4%
Discipline Specific Expertise (Level 3) Yes 74.8%
Fundamentals of Science and Engineering (Level 3) Yes 18.7%
Information Skills (Level 2) Yes 1.7%
Professional Communication (Level 3) Yes 1.7%
Teamwork and Project Management (Level 2) Yes 1.7%

These goals are selected from Engineering/IT Graduate Attribute Matrix 2009 which defines overall goals for courses where this unit is primarily offered. See Engineering/IT Graduate Attribute Matrix 2009 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.