SEE710 - Instrumentation and Process Control
Unit details
Year: | 2024 unit information |
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Enrolment modes: | Trimester 2: Waurn Ponds (Geelong) |
Credit point(s): | 1 |
EFTSL value: | 0.125 |
Unit Chair: | Trimester 2: Van Thanh Huynh |
Prerequisite: | For students enrolled in S460, S461, S462, S463, S465, S466, S467: SEJ302 and completion of 18 credits points or Unit Chair approval. For students enrolled in S550, S652, S751, S752, S756, S757, S758, S759, S652, S550: Nil. For students enrolled in courses outside of the School of Engineering: Unit Chair approval. |
Corequisite: | Nil |
Incompatible with: | Nil |
Typical study commitment: | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
Educator-facilitated (scheduled) learning activities - on-campus unit enrolment: | 2 x 1 hour seminars per week. |
Content
Topics covered will include sensors and transducers, their application to force, pressure, displacement, and temperature measurements. Process and instrumentation diagrams, process characteristics, examples of control loops, feedback and feed-forward control, dynamic behaviour of low-order, higher-order systems and nonlinear systems, modelling of industrial processes including least square methods and Kalman filter for estimations, system identification technique to construct linear, nonlinear or complex system dynamics are taught. On top of that, implementation of control algorithms, discrete time control, optimal control, discrete finite-time control (dead-beat control), fundamental concept of robust control theory, and robust sliding mode control for high-order uncertain nonlinear industrial systems are part of the rich content of this advanced unit.
ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | Deakin Graduate Learning Outcomes |
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ULO1 | Explain the common types of sensors and transducers and their application to measurement and measurement error. | GLO1: Discipline-specific knowledge and capabilities |
ULO2 | Demonstrate an understanding of the fundamental concepts of automatic control using concepts of mathematical models to determine the characteristics of practical systems. | GLO1: Discipline-specific knowledge and capabilities |
ULO3 | Demonstrate a competence in assessing and improving the dynamic performance of continuous and discrete time systems using modern control system analysis and design techniques. | GLO5: Problem solving |
ULO4 | Select appropriate control equipment and its application to industrial systems. | GLO3: Digital literacy |
ULO5 | Design a control system to meet performance specification of a typical industrial manufacturing system. | GLO3: Digital literacy |
Assessment
Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
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Assessment 1 Problem solving exercises | Two written problem solving tasks (4 and 7 questions) | 50% (2 x 25%) | Weeks 6 and 10 |
Assessment 2 Group research project | 5-10 page written research report | 50% | Week 11 |
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Learning Resource
The texts and reading list for the unit can be found on the University Library via the link below: SEE710 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
Unit Fee Information
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