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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)
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:

  1. Develop ordinary differential equation models to describe process dynamic behaviour, using fundamental material and energy balances, and constitutive relationships.
  2. Identify nonlinearity in model equations, and linearize appropriately.
  3. Derive transfer function models from process models and process data.
  4. Identify important dynamic features of single-input single-output (SISO) and multi-input multi-output (MIMO) linear dynamical systems.
  5. Apply modern control theory to design controllers for uncertain SISO linear dynamical systems.
  6. Explain the trade-offs in performance that arise in the design of a controller.
  7. Analyze the frequency response behaviour of a process (using Nyquist and Bode approaches), and use this information to design controllers.
  8. Determine when to use controller enhancements such as the internal model principle and feedforward control, and design such enhancements.
  

Chemical Engineering

http://queensu-ca-public.courseleaf.com/graduate-studies/programs-study/chemical-engineering/
The Chemical Engineering department is based in Dupuis Hall, which is a multi-purpose facility with extensive research laboratories, and large-and small-group teaching classrooms. Department researchers in the bioengineering and bioremediation fields also have laboratory facilities in the multi-disciplinary Biosciences complex, Nicole Hall, and in the Centre for Health Innovation at the Kingston Health Sciences Centre. We are a medium-sized department, with sufficient size to ensure a breadth of research activities, yet small enough to foster a cohesive learning environment. Research serials and books are housed in the Engineering and Science Library, and a variety of search and document delivery facilities are available on-line. Research is being conducted in the fields of materials and interfaces, bioengineering, sustainable energy sources, and data analytics, optimization and control. Facilities within the polymer and reaction engineering field include a variety of bench and pilot scale polymerization reactors (gas-phase polyolefin, solution and emulsion free-radical, living-radical and condensation polymer systems), polymer processing equipment (twin-screw extruder, Haake internal mixer), rotational and capillary rheometers, fuel cell equipment, and the biomedical research facilities include cell and tissue culture labs. The Chemical Engineering Analytical Facility (ChEAF) was established for the measurement of polymeric physical, thermal and structural properties, and is supported by the Senior Research Engineer. Physical measurements and chemical analyses are carried out using a variety of instruments such as gas chromatographs, elemental analyzer, HPLCs, gel permeation chromatographs, BET surface area analyzer, capillary hydro-dynamic fractionation submicron particle size analyzer, spectrophotometers, IR, FTIR, GC mass spectroscopy, and also by means of novel probes based in light scattering, absorption and fluorescence. Research computations are conducted using a wide range of symbolic computation, numerical analysis, statistical analysis and process simulation software.  The research laboratories are supported by two departmental laboratory technologists while the computing facilities are supported by Smith Engineering Information Technology Group.