Description
Objectives
At the end of this curricular unit, students will have developed skills for the use of advanced techniques for modeling and dynamic systems simulation, multivariable control and model predictive control (MPC), which form the basis for the design and implementation of advanced control systems. in industrial processes. At the end of the course, students should be able to identify circumstances when PID control is not desirable, select and develop an appropriate advanced control algorithm for industrial cases, and evaluate the robustness of designs. Another objective is to get students to develop skills in analysis, design and implementation of advanced control systems using commercial software packages. In particular, MATLAB® is used with SIMULINK, Control System Toolbox, System Identification Toolbox and Model Predictive Control Toolbox applications.
Syllabus
1. Motivation for the control of multivariable industrial processes: control objectives, which variables to control and to measure. 2. Dynamic modelling of continuous processes: linear and nonlinear. Representations of linear models: state space and transfer function. Conversion between different models. Systems identification. 3. Revision of conventional PID controller design and tuning techniques using MATLAB®/Simulink and the Control Systems Toolbox: stability analysis; closed loop Direct Synthesis method; Internal Model Control (IMC); frequency-response analysis. 4. Enhanced PID control strategies: cascade control, feedforward control, time-delay compensation, ratio control and inferential control. 5. Multiloop and multivariable (MIMO) control. Decoupling. 6. Analysis of Discrete Time Processes. Discrete time models. Z - transform. Introduction to digital control systems. Digital PID. 7. Model predictive control (MPC) for SISO and MIMO systems. DMC – Dynamic Matrix Control.
Prerequisites
The program of this curricular unit assumes that the students who will attend it have already passed the curricular units of "Modeling and Simulation" of the Degree in Chemical Engineering, and "Chemical Process Control" of the Master in Chemical Engineering, or an equivalent conventional control curricular unit.
Cross Competence Component
This curricular unit involves a set of different teaching and evaluation methodologies, which attempt to provide students with theoretical and practical tools, so that they can be able to analyse, discuss and have close contact with case studies and more real problems in multivariable control of chemical process units, it is estimated that the soft skills assessment component represents about 30% of the global curricular unit assessment through the following skills: critical and innovative thinking with an emphasis on understanding, creativity and innovation in problem solving approaches; interpersonal skills, including teamwork, communication and oral presentations; intrapersonal skills that include self discipline, enthusiasm, perseverance and self-motivation; global citizenship related to tolerance, openness, respect for diversity and intercultural understanding; information and media literacy including the ability to locate and access information.Contributes with 10% to the global
Laboratorial Component
The curricular unit classes take place at the "Laboratório de Tecnologias Informáticas" of DEQ (LTI) with 1 PC for each student, in the format of 2 theoretical-practical classes per week of 2 hours each, where the topics of the program are discussed through practical examples and case studies in a hands-on format with active discussions and participation of the students in class. During the period of classes, two field trips to industrial companies are performed, so that students can have a close look and understand real processes, equipments, industrial instrumentation, and also real advanced control methodologies implemented in the Portuguese chemical industry.
Programming And Computing Component
Hands-on use in contact classes and autonomous work, of MATLAB®/Simulink software and Toolboxes: Control System Toolbox, System Identification Toolbox and Model Predictive Control Toolbox (available at LTI). This curricular unit has a strong component of programming and computing covering about 85% of work in contact hours in classes and of total hours of autonomous work.
Ethical Principles
All members of a group are responsible for the group´s work. In any assessment, every student shall honestly disclose any help received and sources used. In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.