Overview

This unit covers the monitoring and control of process variables in an industrial setting with the use of sensors, actuators, controllers, and human-machine interfaces (HMIs).

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date

Learning outcomes

Students who successfully complete this unit will be able to:

  • Use instrumentation to investigate the characteristics of common elements used in process control applications
  • Perform sensor calibration and data acquisition when performing engineering practical exercises
  • Perform data analysis and signal conditioning when solving engineering problems
  • Develop open and closed loop control systems when building engineering applications
  • Create human machine interfaces for control systems when working on real world engineering applications
  • Apply data communication protocols when solving engineering problems

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)

On-campus
Class

 3.00 16 weeks 48
On-campus
Class		 3.00 16 weeks 48
Unspecified Activities 
Independent Learning		 3.38 16 weeks 54
Total     150

Assessment

Type Task Weighting ULOs
Portfolio Individual 10-20 % 1,4,6
Presentation and Report Individual 10-20 % 1,4,6
Project Individual/Group 40-50 % 2,3,4,5
Test Individual 20-30 % 1,3,6

Hurdle

As the minimum requirements of assessment to pass a unit and meet all Unit Learning Outcomes to a minimum standard, a student must achieve:

(i) an aggregate mark of 50% or more, and
(ii) complete satisfactorily the practical project and practical task.

Content

  • Sensors and transducers characteristics
  • Equipment Calibration
  • Signal measurement using instruments and data acquisition equipment
  • Data analysis and visualisation
  • Mathematical modelling
  • Signal processing
  • Frequency analysis
  • Microcontroller and PC based control programs
  • PID control
  • Human machine interfaces
  • IIOT technologies
  • Communication protocols and networking
  • Computer interface circuits
  • Machine vision
  • Systems integration

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.