Unit Outline
ENG432
Control Systems 2
Semester 1, 2024
Brian Salmon
School of Engineering
College of Sciences and Engineering
CRICOS Provider Code: 00586B

Unit Coordinator
Brian Salmon
Email: Brian.Salmon@utas.edu.au
What is the Unit About?
Unit Description
 

This unit concentrates on industrial process dynamics and control. The fundamentals of dynamic systems analysis and controller design studied in Control Systems 1 are built upon to include empirical modelling, and enhanced single loop control strategies. Specific topics that will be covered include: introduction to process control, theoretical models of processes, dynamic response characteristics of systems, development of empirical dynamic models from process data, feedback controllers, PID controller design, tuning and troubleshooting, frequency response analysis (Bode diagrams and Nyquist diagrams), and control system design based on frequency response methods (Bode- and Nyquist-inspired techniques).
Intended Learning Outcomes
As per the Assessment and Results Policy 1.3, your results will reflect your achievement against specified learning outcomes.
On completion of this unit, you will be able to:
1.
Analyse complex dynamic systems, and develop empirical models from process data.
2.
Design controllers in the time and frequency domains.
3.
Implement the most common single loop control strategies applied in the process industry.
4.
Design, tune and troubleshoot practical implementations of industrial PID controllers.
5.
Communicate how relevant applied research may inform the modern practice of process control engineering.
Requisites
REQUISITE TYPE
REQUISITES
Pre-requisite
ENG331
Alterations as a result of student feedback
 
 
 

Teaching arrangements
ATTENDANCE MODE
TEACHING TYPE
LEARNING ACTIVITY
CONTACT HOURS
FREQUENCY
Attendance / engagement expectations
If your unit is offered On campus, it is expected that you will attend all on-campus and onsite learning activities. This is to support your own learning and the development of a learning community within the unit. If you are unable to attend regularly, please discuss the situation with your course coordinator and/or our UConnect support team.

If your unit is offered Online, it is expected you will engage in all those activities as indicated in the Unit Outline, including any self-directed learning.

If you miss a learning activity for a legitimate reason (e.g., illness, carer responsibilities) teaching staff will attempt to provide alternative activities (e.g., make up readings) where it is possible.
 
 
 
 

How will I be Assessed?
 
For more detailed assessment information please see MyLO.
Assessment schedule
ASSESSMENT TASK #
ASSESSMENT TASK NAME
DATE DUE
WEIGHT
LINKS TO INTENDED LEARNING OUTCOMES
Assessment Task 1:
Lab/Reports
See the MyLO site for the due date
20 %
LO1, LO4
Assessment Task 2:
Exam
See the MyLO site for the due date
30 %
LO1, LO2, LO3, LO4
Assessment Task 3:
Project
See the MyLO site for the due date
50 %
LO1, LO4, LO5
 
Assessment details
    
Assessment Task 1: Lab/Reports
Task Description:
Laboratories in the unit will be primarily based on students developing competency in using software packages to delve deeper into PID controller tuning/implementation, and performing hardware-based experiments in process model estimation and PID controller tuning/implementation, respectively.

Task Length:
10 pages
Due Date:
See the MyLO site for the due date
Weight:
20 %
 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Obtain simple low-order parametric models from input-output data
LO1
2
Implement PID controllers that include anti-windup, derivative filtering, and set-point weighting features
LO4
 
Assessment Task 2: Exam
Task Description:
Two hour exam run during the final examination period. The exam will assess students on knowledge and skills developed throughout the unit. In particular, this task will provide students with an opportunity to demonstrate their overall level of achievement across ILOS 1 to 4.

Task Length:
2
Due Date:
See the MyLO site for the due date
Weight:
30 %
 
 

CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Obtain simple low-order parametric models from input-output data
LO1
2
Design simple controllers that meet both time- and frequency-domain design specifications considering any relevant trade-offs
LO2
3
Design feedback and feedforward controllers considering any relevant trade-offs
LO3
4
Implement PID controllers that include anti-windup, derivative filtering, and set-point weighting features
LO4
 
Assessment Task 3: Project
Task Description:
Process control design project: Students will engage in a comprehensive process control design project building upon the work conducted in the lectures and laboratories. Students will need to effectively scope the requirements of their control system, engage with stakeholders to consider the various technical and non-technical inputs to their design, design, simulate, troubleshoot, and evaluate their proposed control system. Students will be provided with the opportunity to choose a particular control design project from a number of possible projects as made available by the lecturer. They will also be encouraged to propose their own control design project. Most projects will include both hardware and software components, and be restricted to remain within strict budgetary constraints.
Students will be assessed through a number of complementary components including;
1. group progress presentation,
2. group final report,
3. individual reflective ePortfolio, and
4. related final group interview.

Task Length:
 
Due Date:
See the MyLO site for the due date
Weight:
50 %
 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Obtain simple low-order parametric models from input-output data
LO1
2
Implement PID controllers that include anti-windup, derivative filtering, and set-point weighting features
LO4
3
Critically apply peer-reviewed research to industrially relevant control problems
LO5
 
 
 

How your final result is determined
To pass this unit, you need to demonstrate your attainment of each of the Intended Learning Outcomes, achieve a final unit grade of 50% or greater, and pass any hurdle tasks.
 
Submission of assignments
Where practicable, assignments should be submitted to an assignment submission folder in MYLO. You must submit assignments by the due date or receive a penalty (unless an extension of time has been approved by the Unit Coordinator). Students submitting any assignment in hard copy, or because of a practicum finalisation, must attach a student cover sheet and signed declaration for the submission to be accepted for marking.
 
Requests for extensions
If you are unable to submit an assessment task by the due date, you should apply for an extension.
 
A request for an extension should first be discussed with your Unit Coordinator or teaching support team where possible. A request for an extension must be submitted by the assessment due date, except where you can provide evidence it was not possible to do so. Typically, an application for an extension will be supported by documentary evidence: however, where it is not possible for you to provide evidence please contact your Unit Coordinator.
 
The Unit Coordinator must notify you of the outcome of an extension request within 3 working days of receiving the request.
Late penalties
Assignments submitted after the deadline will receive a late penalty of 5% of the original available mark for each calendar day (or part day) that the assignment is late. Late submissions will not be accepted more than 10 calendar days after the due date, or after assignments have been returned to other students on a scheduled date, whichever occurs first. Further information on Late Penalties can be found on the Assessments and Results Procedure.
 
Review of results and appeals
You are entitled to ask for a review of the marking and grading of your assessment task if there is an irregularity in the marking standards or an error in the process for determining the outcome of an assessment. Details on how to request a review of a mark for an assignment are outlined in the Review and Appeal of Academic Decisions Procedure.