ChemE 482 - Advanced Topics in Process Control

Course Description

Credits: 3.  Current topics in process control design and analysis.  Possible topics include robustness analysis and design, time delay compensation, modern frequency response techniques, discrete control, adaptive control, model-based control, and nonlinear control.

Designation

Prerequisites

CHEM E 480 - Process Dynamics and Control

Textbook

Process Dynamics and Control (2nd Ed.) by D. E. Seborg et al. (required – same as prerequisite course, CHEME 480).

Course Objectives

1. Develop and use a variety of standard dynamic model types, including discrete (sampled-data) difference equations, transfer functions, and state-space forms.
2. Apply Model Predictive Control (MPC) to multi-input, multi-output systems.
3. Use modern computer-based system analysis and simulation tools (MATLAB/Simulink).
4. Appreciate pros and cons of common on-line chemical analysis systems.
5. Generate statistical process control charts and interpret the results.

1. Frequency-response analysis (1 week)
2. Sampled-data systems and digital signal processing (2 weeks)  
3. Dynamic models from data (1 week)
4. Model-based predictive control and optimization (2 weeks)
5. Statistical process control (1 week)
6. Sensors and analyzers (1 week)
7. Batch process control  (2 weeks)

3 lectures per week, one hour each.  Occasional use of laboratory equipment.

Engineering
Design content

(a)   An ability to apply knowledge of mathematics, science, and engineering.

(c) The graduate should have an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.

(e)   An ability to identify, formulate, and solve engineering problems.

(k)   An ability to use the techniques, skills and modern engineering tools necessary for engineering practice.