Instrumentation and Process Control
Keywords |
Classification |
Keyword |
OFICIAL |
Bioprocess Engineering |
OFICIAL |
Biological Engineering |
Instance: 2016/2017 - 2S
Cycles of Study/Courses
Acronym |
No. of Students |
Study Plan |
Curricular Years |
Credits UCN |
Credits ECTS |
Contact hours |
Total Time |
MIB |
20 |
Syllabus |
3 |
- |
6 |
70 |
162 |
Teaching language
Portuguese
Objectives
The fundamental objective of this course is to develop competences on modeling, analysys and design of automatic control systems for physical/chemical/biological processes. As a complement, it is exepected that the students will gain basic knowledge on instrumentation associated to automatic control: sensors, controllers, and final control elements.
Learning outcomes and competences
A student, after successfully concluding this course, should be able to:
- Create mathematical models based on differential equations for representing dynamic systems.
- Linearize non-linear dynamic system models in the neighborhood of a steady-state.
- Create bloc diagrams for linear dynamic systems, identifying the intervening transfer functions.
- Identify the main instrumentation used in process control of physical/chemical/biological processes.
- Design and tune classic controllers according to given performance criteria.
- Design and tune some advanced control strategies, performing a critical analysis of their pertinence.
- Recognize the main methods for treatment of analog and digital signals.
Working method
Presencial
Program
The main topics in this course are:
- models of dynamic systems. Soution in time and frequency domains. Transfer function.
- Concentrated parameter models. First order systems; stationary gain and time constant. Second order systems, stationary gain, time constant and damping factor.
- Linearization of non-linear systems.
- Time delays.
- Complex systems. Representation using empirical models.
- Industrial instrumentations for process control: sensores and transmiters, controllers, final control elements.
- Closed loop control (feedback).
- Dynamic behavior of closed loop control. Stability analysis.
- Controler tuning; criteria and methods.
- Feedforward and ration control.
- Advanced control startegies: cascade control, adaptative control and time delay compensation control.
- Representation of control systems using P&I diagrams.
- Digital systems for process monitoring, comand and control. Analog and digital signal treatment.
Mandatory literature
Dale E. Seborg, Thomas F. Edgar, Duncan A. Mellichamp;
Process dynamics and control. ISBN: 0-471-00077-9
Complementary Bibliography
B. Wayne Bequette;
Process control. ISBN: 0-13-353640-8
Teaching methods and learning activities
Teaching will be based on presential classes for presentation and discussion of concepts and study cases. Software tools (Scilab/Xcos) will be used for computer-based learning. Pratical exercises will take place using real PID control systems.
Software
Scilab/Xcos
keywords
Technological sciences > Engineering > Process engineering > Process control
Evaluation Type
Distributed evaluation with final exam
Assessment Components
Designation |
Weight (%) |
Exame |
75,00 |
Trabalho escrito |
25,00 |
Total: |
100,00 |
Calculation formula of final grade
The final grade, CF, is given by:
CF = 0.25 * CT + 0.75 * CE
wher CT is the average grade of the reports for the works performed during the semester, and CE is the grade of the axam. The exam will have a part without consultation (40 %) and a part with consultation (60 %).
In order to pass the course, a minimum grade of 8 in the exam is mandatory.
Examinations or Special Assignments
Two work reports:
1) Systems Dynamics
2) Process Control
Special assessment (TE, DA, ...)
Final exam.
Classification improvement
Each student may choose between doing the second exam ("recurso") in order to improve only the grade of the first exam, keeping the grade for the work report, ou improve both grades, so that the final grade will be that of the second exam.