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Unit of study_

ELEC9304: Control

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.

Details

Academic unit Electrical and Information Engineering
Unit code ELEC9304
Unit name Control
Session, year
? 
Semester 2, 2021
Attendance mode Normal day
Location Camperdown/Darlington, Sydney
Credit points 6

Enrolment rules

Prohibitions
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ELEC5735
Prerequisites
? 
None
Corequisites
? 
None
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.

Available to study abroad and exchange students

No

Teaching staff and contact details

Coordinator Yash Shrivastava, yash.shrivastava@sydney.edu.au
Type Description Weight Due Length
Final exam (Open book) Type C final exam Final Exam
End of Semester Exam
60% Formal exam period 2 hours
Outcomes assessed: LO6 LO7 LO8 LO9 LO10
Assignment group assignment Labs
7% Multiple weeks N/A
Outcomes assessed: LO5 LO4 LO6 LO7 LO8 LO9 LO10 LO1 LO2 LO3
Assignment group assignment Tutorials
8% Multiple weeks N/A
Outcomes assessed: LO6 LO7 LO8 LO9 LO10 LO1 LO2 LO3
Small test Mid-term exam
Midterm Exam
25% Week 09
Due date: 13 Oct 2021 at 11:00

Closing date: 13 Oct 2021
70 minutes
Outcomes assessed: LO6 LO7 LO8 LO9 LO10
group assignment = group assignment ?
Type C final exam = Type C final exam ?
  • Tutorials and Labs: There will be 8 tutorials (of 2 hours each) and 4 laboratories (of 3 hours each) during the semester. Tutorials will include analytical problem solving sessions on the material covered in the lectures and computer aided solution / illustration. These sessions will give you the opportunity to explore the concepts in detail and are very helpful in understanding the material covered in the lecture. Laboratories are designed to introduce you to basic feedback control concepts and measurements. They will require you to do system identification for lab equipment and implement/test a few standard controllers for it, model and simulate dynamic systems and controllers in Matlab. 
  • Midterm Exam: The midterm exam is scheduled to provide you an assessment halfway through the semester and more importantly to give you a practice run for the final exam. It will be of the same format as the final exam (but of shorter duration).
  • Final Exam: Final Exam

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see sydney.edu.au/students/guide-to-grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, and the resources available to all students.

The University expects students and staff to act ethically and honestly and will treat all allegations of academic dishonesty or plagiarism seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic dishonesty. If such matches indicate evidence of plagiarism or other forms of dishonesty, your teacher is required to report your work for further investigation.

WK Topic Learning activity Learning outcomes
Multiple weeks Students need to spend roughly 3 hours each week on independent study to deeply engage with the material covered in that week Independent study (39 hr) LO1 LO6 LO7 LO8 LO9 LO10
Week 01 Introduction and review of Laplace Transform Lecture and tutorial (2 hr) LO1
Week 02 Modeling of physical systems Lecture and tutorial (5 hr) LO1 LO3 LO10
Week 03 Modeling of physical systems and linearization of nonlinear systems Lecture and tutorial (5 hr) LO1 LO3 LO10
Week 04 Time response of linear systems Lecture and tutorial (5 hr) LO3 LO6
Week 05 System reduction Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO7
Week 06 Stability of linear systems; Routh-Hurwitz criterion; Steady state errors Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO8
Week 07 Steady state errors; Sensitivity; Root locus techniques Lecture and tutorial (5 hr) LO3 LO8 LO9
Week 08 Controller design using root locus Lecture and tutorial (5 hr) LO3 LO9
Week 09 Lecture devoted to Midterm Exam Independent study (5 hr) LO6 LO7 LO8
Week 10 Controller design using root locus continued Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO9
Week 11 Frequency response and Bode plots Lecture and tutorial (5 hr) LO3 LO9
Week 12 Nyquist criterion for stability and controller design using frequency response techniques Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO9
Week 13 Controller design using state space techniques Lecture and tutorial (5 hr) LO3 LO9

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

  • Norman S. Nise – Control Systems Engineering (eighth). Wiley, 2019. ISBN 9781119594352

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University’s graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. 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
  • LO2. make written and oral presentations in the form of lab reports, tutorial presentations, and critical self-reflection
  • LO3. 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.
  • LO4. design and test feedback control schemes for the lab equipment to achieve different performance requirements
  • LO5. conduct lab experiments and take measurements to perform a model identification for a particular engineering problem
  • LO6. analyse the dynamic response of linear time invariant systems and the role of system poles and zeros on it
  • LO7. simplify complex system consisting of interconnections of many linear subsystems
  • LO8. determine the stability of feedback systems and their steady state performance
  • LO9. design simple controllers to achieve stability and transient performance requirements using root locus, frequency response and state space techniques
  • LO10. model physical systems (e.g. electrical, mechanical, and electromechanical systems) using state space, differential equations, and transfer functions

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
Learning activities changed to span 13 weeks.

Disclaimer

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