73596 - Dynamics And Control Of Chemical Processes M

Course Unit Page

Academic Year 2018/2019

Learning outcomes

The course provides the basic elements to understand the dynamics of chemical processes and to analyze and design SISO and MIMO control systems

Course contents

Motivations and introduction. Classification of process variables.


Mathematical models for the process dynamics. Laplace transforms and solutions of differential equations and systems. Linearizations of equation and systems. Transfer functions.
Dynamic classification of chemical processes. 1st order systems: gain and time constant.
2nd order systems: overshoot, decay ratio. Multicapacitive systems.

Feedback control block diagram. Proportional, integral and derivative control. Effect of control actions on the dynamics of chemical processes.
Stability of systems with feedback control. Characetristic equation and Routh Hurwitz criterion. Root locus.
Tuning criteria: simple and integral criteria; Cohen-Coon method.
Frequency response analysis: Bode diagrams for different systems. Bode stability criterion. Phase and gain margin, "open loop" transfer function. Ziegler Nichols tuning method. Nyqvist plots.
Cascade control, selective control and split range control.
Control of MIMO systems.


Block diagram- Feedback-feedforward control. Control of systems with large dead time or inverse response: Smith predictors.
Examples and exercises.


George Stephanopoulos :"Chemical process control: an introduction to theory and practice" Prentice-Hall, 1984
Pao C. Chau" Process Control : A First Course with MATLAB" Cambridge Series in Chemical Engineering, 2002.
B. A. Ogunnaike, W. H. Ray, Process Dynamics, Modeling, and Control, Oxford, 1994.

Teaching methods

Regular classes

Assessment methods

Final oral exam

Office hours

See the website of Ferruccio Doghieri

See the website of Alessandro Paglianti