CHEE 319 Process Dynamics and Control Units: 3.50
The dynamic behaviour and automatic control of processes are studied. Mathematical tools for analyzing the transient behaviour of open and closed-loop systems are presented. The steps of controller development are treated: process characterization (using mathematical models), controller design, and implementation. Methods for assessing system stability and performance are investigated, and are used in the design of controllers. Frequency response methods are introduced, as is the development and implementation of controller enhancements including feedforward and cascade control.
(Lec: 3, Lab: 0, Tut: 0.5)
(Lec: 3, Lab: 0, Tut: 0.5)
Requirements: Prerequisites: CHEE 222 or MINE 201, MTHE 225 (MATH 225), CHEE 321 or permission of the department.
Corequisites:
Exclusions:
Offering Term: W
CEAB Units:
Mathematics 0
Natural Sciences 0
Complementary Studies 0
Engineering Science 30
Engineering Design 12
Offering Faculty: Smith Engineering
Course Learning Outcomes:
- Develop ordinary differential equation models to describe process dynamic behaviour, using fundamental material and energy balances, and constitutive relationships.
- Identify nonlinearity in model equations, and linearize appropriately.
- Derive transfer function models from process models and process data.
- Identify important dynamic features of single-input single-output (SISO) and multi-input multi-output (MIMO) linear dynamical systems.
- Apply modern control theory to design controllers for uncertain SISO linear dynamical systems.
- Explain the trade-offs in performance that arise in the design of a controller.
- Analyze the frequency response behaviour of a process (using Nyquist and Bode approaches), and use this information to design controllers.
- Determine when to use controller enhancements such as the internal model principle and feedforward control, and design such enhancements.