Processes Supervision
4
2019-2020
01004255
Chemical Engineering
Portuguese
English
Face-to-face
SEMESTRIAL
5.0
Compulsory
1st Cycle Studies
Recommended Prerequisites
Calculus I, II, III, Linear Algebra and Analytic Geometry, Applied Computing, Modeling, Simulation and Optimization, Chemical Engineering Laboratories II.
Teaching Methods
Classes are used to introduce the concepts, definitions and formulations for elementary process modeling and the analysis of the dynamic behavior of chemical processes, together with the design and analysis of control systems. The application of these methodologies is demonstrated through examples, with the support of numerical simulation in the programming languages GNU Octave / Matlab / Mathematica.
Learning Outcomes
Understanding of the feedback and feedforward mechanisms, and their dissemination in systems of diverse nature. Formulation and application of mathematical models to identify and to characterize the dynamic behavior of a chemical process in view of its control. Application of control systems design and analysis methodologies. Knowledge of concepts and methodologies for the supervision of chemical process. The course aims at developing the following skills: Ability in analysis and synthesis; ability to formulate and solve problems; knowledge of programming and numerical simulation; Capacity of autonomous work and teamwork; Capability of critical thinking; Quality concerns; Competence in applying theoretical knowledge in practice in practice.
Work Placement(s)
NoSyllabus
Structure and functionality of dynamic systems. Objectives of the process supervision systems. Main control strategies.
Typical components of the control loops: sensors, signal conversion, actuators. Application examples.
Principles of dynamic modeling and analysis. System analogies.
Control loops. Feedback and feedforward control. On-off control. PID control. Design and analysis of control systems stability and performance.
Introduction to multivariable process control. Multilevel supervision. Model predictive control and real-time optimization.
Typical applications of control systems in chemical processes.
Head Lecturer(s)
Lino de Oliveira Santos
Assessment Methods
Assessment
Project: 25.0%
Exam: 75.0%
Bibliography
Åström, K. J.; Hägglund, T. Automatic Tuning of PID Controllers. Instrument Society of America, Research Triangle Park, NC, 1988.
Bequette, B. W. Process Dynamics: Modeling, Analysis and Simulation. Prentice-Hall Inc., Englewood Cliffs, NJ, 1998.
Luyben, W. L. Process Modeling, Simulation and Control for Chemical Engineers. 2nd ed., McGraw-Hill, New York, NY, 1990.
Marlin, T. E. Process Control: Designing Processes and Control Systems for Dynamic Performance. McGraw-Hill, New York, NY, 1995.
Ogunnaike, B.A.; Ray, W. H. Process Dynamics, Modeling and Control, Oxford University Press. New York, NY, 1994.
Seborg, D. E.; Edgar, T. F.; Mellichamp, D. A. Process Dynamics and Control. 2nd ed., John Wiley & Sons, New York, NY, 2004.
Shinskey, F. G. Process Control Systems. 2nd ed., McGraw-Hill, New York, NY, 1979.
Stephanopoulos G. Chemical Process Control: An Introduction to Theory and Practice. Prentice-Hall Inc., Englewood Cliffs, NJ, 1984.