CHEM ENG 7056 - Process Control and Instrumentation
North Terrace Campus - Semester 2 - 2022
General Course Information
Course Code CHEM ENG 7056 Course Process Control and Instrumentation Coordinating Unit School of Chemical Engineering Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange Y Incompatible CHEM ENG 3015, CHEM ENG 3031 Assumed Knowledge MATHS 2102, CHEM ENG 2010 Course Description The purpose of this course is to apply the key concepts of automatic control and instrumentation to process plants. Material and energy balances are used to model unsteady state (dynamic) process systems where control algorithms are required to bring the process back to equilibrium. Laplace Transforms are used as a means to conveniently solve ordinary differential equations, which are used when describing process control systems. Control loops are developed to represent industrial processes enabling appropriate control approaches to be elucidated. Commonly used sensing, transmission and final control elements are described and depicted in Piping and Instrumentation Diagrams (P&IDs). The course is delivered through a combination of lectures, tutorials, and practicals where the student will tune controllers on dynamic systems. At the end of the course, the students will have an appreciation of the fundamental importance of control systems for the safe and sustainable operation of process plants.
Course Coordinator: Tara Hosseini
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn successful completion of this course students will be able to:
1 Explain the basic principles & importance of process control in industrial process plants; 2 Specify the required instrumentation and final elements to ensure that well-tuned control is achieved; 3 Explain the use of block diagrams & the mathematical basis for the design of control systems; 4 Design and tune process (PID) controllers; 5 Use appropriate software tools (e.g. Matlab Control Toolbox & Simulink) for the modelling of plant dynamics and the design of well tuned control loops; 6 Explain the importance and application of good instrumentation for the efficient design of process control loops for process engineering plants; and 7 Draw a PID (Process & Instrumentation Diagram) & devise simple but effective plant wide control strategies using appropriate heuristics.
The above course learning outcomes are aligned with the Engineers Australia Stage 1 Competency Standard for the Professional Engineer.
The course is designed to develop the following Elements of Competency: 1.1 1.2 1.3 2.1 2.2 3.1
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s)
Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
Stephanopoulos, G 2005, Chemical Process Control; An Introduction to Theory & Practice, Prentice-Hall
Seborg, DE, Edgar TF & Mellichamp DA 2008, Process Dynamics & Control, 2nd Edition, John Wiley.
Online LearningA range of online resources will be provided via MyUni.
Learning & Teaching Activities
Learning & Teaching Modes
No information currently available.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Contact Hours Workload Hours Lectures 23 46 Tutorials 20 40 Quizzes 2 4 TOTAL 45 90
Learning Activities SummaryTopic 1: Model Development & Differential Equations
Solution of differential equations; use of Laplace transforms; development of dynamic models; Taylor series linearization of non-linear differential equations, inverse Laplace transforms; partial fraction expansion.
Topic 2: Block Diagrams
Closed-loop systems; block-diagram algebra.
Topic 3: Step Responses & Controller Algorithms
Step response of first & second-order systems, PID control – simple elements proportional, integral
& derivative mode; ideal & real-world controllers.
Topic 4: More Complex Transfer Functions
Higher-order systems; inverse response; dead time.
Topic 5: Stability
Introduction; poles & zeros; Argand diagrams; Routh array, root locus plots; degrees of freedom.
Topic 6: Controller Tuning & Model Fitting
Model development using plant step test data; Cohen Coon & Zeigler Nichols tuning methods.
Topic 7: Process Instrumentation
Sensors & transducers; data transmission; accuracy & repeatability, final elements in control loop;
pressure, temperature, level & flow rate measurement.
Topic 8: Final elements
Motor speed control; control valves – installed & inherent characteristics; PID (Process control &
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Assessment Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes Further information will be available prior to the start of the semester. Total 0
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M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
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