Process Dynamics and Control

Code:

EQ0093

Acronym:

DCP

Keywords
Classification	Keyword
OFICIAL	Technological Sciences (Project)

Instance: 2019/2020 - 2S

Active?	Yes
Responsible unit:	Department of Chemical and Biological Engineering
Course/CS Responsible:	Master in Chemical Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEQ	88	Syllabus	4	-	6	70	162

Teaching language

Suitable for English-speaking students

Objectives

The main objective for this course is to provide knowledge in the areas of i) modeling/simulation of dynamic systems, and ii) analysis, design and operation of process control systems. as a complement, it is intended to provide basic knowledge on instrumentation for process control (sensors, controllers and final control elements).

Learning outcomes and competences

It is expected that after successfully concluding the course, students should be able to:

 

• Develop mathematical models of dynamic systems.

• Analyze and create block diagrams of linear dynamic systems, identifying the intervening transfer functions.

• Obtain time and frequency responses of linear dynamic systems.

• Identify the main instrumentation used in control of chemical and biological processes, being able to critically analyze their relevance and usage context.

• Design and tune classic controllers according to specified performance criteria.

• Design and tune some advanced control strategies, being able to critically analyze their pertinence.

• Identify the main methods for analog and digital signal processing.

 

 

CDIO* LEARNING OUTCOMES 
1. Technical Knowledge and Reasoning

1.2 Core engineering fundamental knowledge: engineering computation and programming; behaviour of dynamic system; process control and instrumentation.

1.3 Advanced engineering fundamental knowledge: computational techniques and specific software usage.

2. Personal and Professional Skills and Attributes

2.1 Engineering reasoning and problem solving: engineering identification and formulation; system modelling and simulation.

2.3 Advanced engineering knowledge: system definitions and interactions; process control philosophy; computer aided process simulation.

3. Personal skills and attributes

3.3 Communication foreign languages: English.

4. Conceiving, designing, implementing, and operation systems

4.3 Conceiving and engineering systems: process dynamics concepts associated to the operation of industrial processes; process control philosophy.

4.4 Design: design of feedback and feedforward control systems; design of data acquisition systems; some concepts about distributed digital control systems.

4.5 Implementation: simulation of processes controlled by computers; knowledge related with instrumentation for operation of the processes.

 

* as described on www.cdio.org

Working method

Presencial

Program

The course’s contente is organized according to the following topics:

• Types of dynamic systems. Continuous and discrete systems.

• Dynamic models. Solution in time and frequency demains. Transfer function. System linearization.

• Concentrated parameters systems. 1st order systems; stationary gain and time constant. 2nd order systems; stationary gain, time constant and damping factor. Higher order systems.

• Distributed parameter systems.

• Complex systems. Identification.

• Frequency response analysis. Bode and Nyquist diagrams.

• Stabilty. Nonlinear systems. Nature of singular points. Application to Chemical  and Biological Engineering systems.

• Industrial instrumentation for process control: sensors and trsnmiters, controlers, final control elements.

• Closed control loop (feedback).

• Dynamic behavior o a closed loop system. Stability analysis.

• Control tunning: criteria and methods.

• Feedforward and ratio control.

• Advanced control strategies: cascade control, adaptative control and delay compensation control.

• Representation of control systems in P&I diagrams.

• Digital systems for process monitoring, command and control. Treatment of analogic and digital signals.

Mandatory literature

Seborg, Dale E.; Process dynamics and control. ISBN: 0-471-00077-9

Complementary Bibliography

B. Wayne Bequette; Process control. ISBN: 0-13-353640-8
Ogunnaike, Babatunde A.; Process dynamics, modeling, and control. ISBN: 0-19-509119-1

Teaching methods and learning activities

Theoretical-practical classes will be based on the presentation of case studies. Students will have to carry out two tests along the semester, performed with computer. Use of computer applications (Scilab/Xcos) for computer-aided learning. Pra

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
Teste	25,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	70,00
Frequência das aulas	70,00
Total:	140,00

Eligibility for exams

Attendance to classes according to current legislation. Execution of the two computer tests.

Calculation formula of final grade

The final grade is based on the following formula:

CF = 0.125 * T1 + 0.125 * T2 + 0.75 * EX 

where T1 and T2 are the grades on each test and EX is the grade on the exam.

The criteria to pass the course is: CF >= 9.5 and Ex >= 6.

 

Special assessment (TE, DA, ...)

Final exam.

Classification improvement

Students may choose between doing the second exam (“recurso”) in order to improve only the grade of the first exam, maintaining the grades for the tests, or improve both the grades for the exam and the tests, so that the final grade will be the one of the second exam.