his unit provides theoretical and practical knowledge on the development of empirical and theoretical models for process simulation and control. This includes the development of empirical models by using regression analysis techniques, optimization means and the use of first principles, mass, and energy balances. This unit emphasises the application of simulation and control of industrial processes. Some of the topics included in the unit are:
- Simulation of processes using lumped and distributed parameters models
- Modeling and analysis for process control
- Dynamic behavior of processes
- PID tuning for dynamic performance
- Control strategies
Two main software packages are used in the unit, Matlab and Unisim. Matlab's statistic toolbox and integration functions are used to develop empirical models for regression analysis. Simulink and other integration functions are used to solve ordinary and partial differential equations as well as to simulate control systems. Unisim is used to calculate energy and material balance for some specific unit operations.
This unit is reliant on on-line materials. Students must have reliable access to the internet. Access to high-speed broadband is highly recommended.
Students studying in external mode must attend residential activity at the Casuarina Campus during the mid-semester study period. More information about residentials can be found athttp://www.cdu.edu.au/engit/residentials.
PRESCRIBED TEXT - PROCESS DYNAMICS AND CONTROL - unavailable in print
E-BOOK - CLICK HERE