Process Dynamics and Control

This subject has the following teaching availabilities in 2008:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability

Students successfully completing the subject should understand the factors influencing the dynamic response of chemical processes and be able to analyse and implement process control strategies.

Content: Process Dynamics: Examples of controlled and manipulated ­variables and control schemes in chemical plants. Time domain, Laplace and frequency domain analyses of process dynamics modelled by linear ordinary differential equations. Transfer functions, amplitude ratio and phase angle, Bode plots. Modelling of complex chemical plants by a series of first, second order and dead time processes. Process identification by step response and frequency response, pulse testing. Step response vector and dynamic matrix.

Process Control: Transfer function of PID controller, closed loop transfer function. Effects of varying proportional gain, derivative and integral times. Effects of measurement lag. Routh stability analysis, Bode stability criterion, gain and phase margins, Ziegler-Nichols tuning. Cascade control and improvements arising from cascade control. Dead time compensation and other and model-based process control. Feedforward compensation, steady-state and lead-lag feedforward. Interactions in multiple-input multiple-out processes, Bristol relative gain array, decoupling. Introduction to dynamic matrix control. Computer-based process control, sampling interval, Shannon sampling theorem and computer implementation of process control.

Information Not Available

This subject is not available as a breadth subject.

• ability to apply knowledge of basic science and engineering fundamentals

• in-depth technical competence in at least one engineering discipline

• ability to undertake problem identification, formulation and solution

• ability to utilise a systems approach to design and operational performance