Publication in the Diário da República: Despacho nº 9183/2020 - 25/09/2020
6 ECTS; 1º Ano, 2º Semestre, 30,0 T + 16,0 PL + 14,0 TP
Develop skills on mathematical modelling, dynamic behaviour analysis and automatic control of chemical processes. Skills in designing classical control systems, assuming linear processes or processes that can be linearized. Stability analysis and performance of control loops will be also developed.
1-Introduction: Motivations; Laplace transforms; Algebra of complex numbers; Matlab/Simulink.
2-Modeling and mathematical simulation of processes: General principles of conservation laws; Transport phenomena and reaction; Examples of mathematical models of chemical processes and their simulation.
3-Dynamic behavior of systems: linear systems; Transfer function; Block diagram; Dynamic behavior of 1st order, 2nd order and higher order systems; Methods of adjustment to known order systems; Frequency response; Bode plots.
4-Automatic process control: Feedback control; Proportional, integral and derivative (PID); Dynamic behavior of
closed-loop systems; Stability analysis, Routh - Hurwitz and Bode Criterion; Gain and phase margins; Design: Cohen -Coon and Ziegler-Nichols Rules; Pole placement.
5-Brief introduction to advanced control: Anticipative, cascade and adaptive control.
The assessment consists of three components. In performing a writing test (50%), in performing a computational project on Modeling, Simulation and Control of Chemical Processes (35%) and performing some practical computational work (15%). The final classification will be the weighted average of the classifications obtained in the three components. The student is exempt from examination if he obtains at least 7 points (out of 20) in each of the three components, and if the final mark after weighting is higher than 9.5.
Students who do not attend at least two-thirds of the practical classes of the module or who do not complete the expected project/practical work will be excluded from the final assessment.
- Ogata, K. (1997). Modern Control Engineering. USA: Prentice-Hall
- Mellichamp, D. e Edgar, T. e Seborg, D. (2004). Process Dynamics and Control. USA: Wiley
- Luyben, W. (1990). Process Modeling, Simulation and Control for Chemical Engineers. USA: McGraw-Hill
Lectures focusing on the topics to be explored and practicals involving problem-solving.
Software used in class
Matlab, Simulink, Octave.