ELEC5303: Computer Control System Design (2015 - Semester 1)

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Unit: ELEC5303: Computer Control System Design (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Electrical & Information Engineering
Unit Coordinator/s: Dr Shrivastava, Yash
Session options: Semester 1
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: This unit aims to teach the basic issues involved in the analysis and design of computer-controlled systems. The emphasis is on theory rather than technological application or industrial practice.

However, students are expected to test some of these ideas on a few benchmark control problems in the laboratory. Completion of the unit will facilitate progression to advanced study in the area and to work in industrial control. This unit assumes a basic knowledge of calculus, functions of real variables, Laplace transform, matrix theory and control theory.

The following topics are covered. Sampled data systems: aliasing. Zero order hold equivalent: inverse of sampling, sampling system with time delay. Properties of difference equations: solution, stability, change of co-ordinates, Z transform. Input output models: pulse response, pulse transfer operator, pulse transfer function, interpretation of poles and zeros.

Analysis of discrete time system: stability (Jury's test, Nyquist criterion, Lyapunov method), sensitivity and robustness, observability (observers, reduced order observers), reachability and controllers, loss of reachability/observability through sampling, output feedback, the Separation theorem. Optimal control: Kalman filter, linear quadratic regulator, output feedback, the Separation theorem.

Approximating continuous time controllers. Finite word length mplementations.
Assumed Knowledge: This unit assumes a basic knowledge of calculus, functions of real variables, Laplace transform, matrix theory and control theory.
Lecturer/s: Dr Shrivastava, Yash
Timetable: ELEC5303 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Tutorial 2.00 1 13
3 Independent Study 2.00 13
T&L Activities: Tutorial: Problem solving sessions. They also use computing facilities at times.

Independent Study: Students need to do some preparation for tutorials. 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
Proficiency in creatively applying technical principles, design methodology, and knowledge of tools and materials in the design of computer control systems. Design (Level 4)
Develop in-depth technical skills and knowledge of computer control systems. Engineering/IT Specialisation (Level 4)
Mathematical modelling and simulation of dynamic systems and controllers. Maths/Science Methods and Tools (Level 4)
Knowledge in how to produce clear and well-constructed engineering documents and informative diagrams and models for computer control systems. Communication (Level 2)
Develop an understanding of the theory behind computer controlled systems and the technological applications of computer-controlled system in parcatice. Professional Conduct (Level 2)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.

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 (Level 4)
1. Ability to creatively apply technical principles, design methodology, and knowledge of tools and materials in the design of computer control systems.
Engineering/IT Specialisation (Level 4)
2. Ability to analyse sampled data systems, Z transforms and discrete time systems by applying principles and techniques developed throughout the course to specific engineering problems.
3. Ability to demonstrate an understanding of the issues involved in the analysis and design of computer-controlled systems.
Communication (Level 2)
4. Ability to produce clear and well-constructed engineering documents to convey complex material succinctly and accurately using a range of media formats and aids.
Professional Conduct (Level 2)
5. Ability to demonstrate an understanding of industrial practice in regards to computer-controlled systems by exploring the theory and technological applications to real life problems.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Tutorials No 20.00 Multiple Weeks 1, 2, 3, 4, 5,
2 Final Exam No 56.00 Exam Period 1, 2, 3,
3 Midterm Exam No 24.00 Week 8 1, 2, 3,
Assessment Description: Tutorials: There will be 11 tutorials (of duration 2 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. They will also require you to model and simulate dynamic systems and controllers in Matlab. Tutorials 2-11 are worth 2 marks each and you will be awarded a mark of 0, 1, or 2 based on your participation and completed work during the tutorial. Besides this incentive, in my experience I have found that there is a direct correlation between the tutorial participation and the exam performance of the students. The solutions for the tutorials and computer codes will be available from the unit of study web page after the session.

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). Again the solutions will be available on the unit of study web page after the exam. Both the midterm exam and the final exam will be based on the lecture material and tutorials. Both exams will be closed book and closed notes. They will test your conceptual understanding of the material. Any complex formulae needed, will be provided on the question paper.

Final Exam: Final Exam
Assessment Feedback: Marked Mid-Sem Exam will be returned to the students. There is detailed discussion during tutorials.
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: See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.
Online Course Content: Learning Management System (LMS) through MyUni

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 to Computer Controlled Systems
Week 2 ZOH equivalent, sampling systems with time delay, inverse of sampling
Week 3 Properties of discrete-time systems
Week 4 z-transform, Pulse-transfer function, Interpretation of poles and zeros, Selection of sampling rate
Week 5 Stability analysis of discrete-time systems, Jury’s test, Lyapunov’s method
Week 6 Frequency response function, Bode plots, Nyquist plot and Nyquist criterion, Sensitivity and robustness
Week 7 Controllability, Reachability, Observability, Detectability, Kalman’s decomposition, Loss of reachability and observability through sampling
Week 8 Mid-Sem Exam
Assessment Due: Midterm Exam
Week 9 Pole-placement Controller Design, Regulation by State feedback, Integral Action, Deadbeat Control
Week 10 Pole-placement Observer Design, Deadbeat observer, Current time and reduced order observer, Output Feedback
Week 11 Kalman Filter: motivation and formulation
Week 12 Linear Quadratic Regulator (LQR): motivation and formulation, Optimal Output feedback controller in the presence of random process noise and measurement noise
Week 13 Approximating continuous-time controllers, Finite word length implementation
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
Master of Engineering (Power) 2011, 2012
Computer Engineering 2010
Electrical 2010, 2011, 2012, 2013, 2014, 2015
Electrical Engineering / Arts 2011, 2012, 2013, 2014
Electrical Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Electrical (Bioelectronics) 2011, 2012
Electrical Engineering (Bioelectronics) / Arts 2011, 2012
Electrical Engineering (Bioelectronics) / Science 2011, 2012
Electrical Engineering (Bioelectronics) / Law 2012
Electrical Engineering / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering / Project Management 2012, 2013, 2014
Electrical Engineering / Science 2011, 2012, 2013, 2014
Electrical (Computer) 2011, 2012, 2013, 2014, 2015
Electrical Engineering (Computer) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Commerce 2012, 2013, 2014, 2011
Electrical Engineering (Computer) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Law 2012, 2013, 2014
Electrical (Power) 2010, 2011, 2012, 2013, 2014, 2015
Electrical Engineering (Power) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Project Management 2012, 2013, 2014
Electrical Engineering (Power) / Science 2011, 2012, 2013, 2014
Electrical (Telecommunications) 2011, 2012, 2013, 2014, 2015
Electrical Engineering (Telecommunications) / Science 2011, 2012, 2013, 2014
Electrical / Arts 2015
Electrical (Computer) / Arts 2015
Electrical (Power) / Arts 2015
Electrical (Telecommunications) / Arts 2015
Software 2015, 2010, 2011, 2012, 2013, 2014
Software / Arts 2015
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 / Project Management 2012, 2013, 2014
Software Engineering / Science 2011, 2012, 2013, 2014
Telecommunications 2010
Bachelor of Information Technology (Computer Science) 2010, 2011, 2012
Information Technology (Computer Science)/Arts 2012
Graduate Certificate in Engineering 2011, 2012, 2013, 2014, 2015
Master of Engineering 2013, 2014, 2015
Master of Engineering (Electrical) 2011, 2012
Master of Engineering (Network) 2012
Master of Engineering (Wireless) 2012
Master of Professional Engineering (Electrical) 2010, 2011, 2012, 2013, 2014, 2015
Master of Professional Engineering (Power) 2010, 2011, 2012, 2013, 2014, 2015
Computer Engineering / Commerce 2010
Electrical Engineering (Computer) / Medical Science 2011, 2013, 2014
Electrical Engineering (Telecommunications) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Medical Science 2011, 2012, 2013, 2014
Information Technology (Computer Science) / Science 2012

Course Goals

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

Attribute Practiced Assessed
Design (Level 4) Yes 30.66%
Engineering/IT Specialisation (Level 4) Yes 61.33%
Maths/Science Methods and Tools (Level 4) Yes 0%
Communication (Level 2) Yes 4%
Professional Conduct (Level 2) Yes 4%

These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 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.