Michele MICCIO | MODELING AND CONTROL FOR PROCESS INDUSTRIES

cod. 0622200024

MODELING AND CONTROL FOR PROCESS INDUSTRIES

	0622200024
	DEPARTMENT OF INDUSTRIAL ENGINEERING
	EQF7
	CHEMICAL ENGINEERING
	2023/2024

CURRICULUM ENERGY AND ENVIRONMENT

	OBBLIGATORIO
	YEAR OF COURSE 1
	YEAR OF DIDACTIC SYSTEM 2019
	SPRING SEMESTER

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
	ING-IND/26	6	60	LESSONS	COMPULSORY SUBJECTS, CHARACTERISTIC OF THE CLASS

PROFESSORS

	MICHELE MICCIO T Curriculum
	DIEGO CACCAVO Curriculum

	Objectives
	Knowledge and understanding Classification of mathematical models: with concentrated and distributed parameters, stationary and dynamic; linear e not; based on ODE or PDE equations; in continuous or discrete time. First principles models. Models based on transport phenomena. SISO and MIMO systems; Inlet-outlet oriented models and models with representation in the state space. Logistic map. Time series. empirical and statistical models. Models based on population budgets. Numerical solution of parabolic PDEs. Fundamentals of the problems of constrained and unconstrained, linear and non-linear optimization. Definition of stability for systems with input-output representation, in state space, both linear and non-linear. Applied knowledge and understanding - engineering analysis: Knowing how to classify mathematical models. Understanding of the meaning and implications of the representation adopted in dynamic systems for the time, continuous or discrete, entails. Ability to distinguish the level of complexity appropriate for the system description of the industrial plants of process for the definition and resolution of the appropriate mathematical model. Applied knowledge and understanding - engineering design Choice and design (identification of parameters) of a control system. Dynamics modeling of a transient system. Independent judgment - engineering practice: Discriminating between stable, marginally stable and always unstable linear dynamical systems. Distinguish the differences in behavior, conceptual and practical, in steady or dynamic conditions, between linear systems and non-linear. Set the gain of a PID controller as a single controller in relation to stability. Knowing recognize the most common linear dynamical systems source of closed-loop BIBO instability and take the related countermeasures. Verify and discuss the BIBO stability of a controlled linear dynamic system in feedback with the use of software. Transversal skills - communication skills: Knowing how to prepare and manage an interactive session on a PC with the use of software, equipped with an interface both alphanumeric and graphic. Knowing how to carry out a practical test on a PC in which to report the discussion of a problem. Transversal skills - ability to learn: Knowing how to apply the knowledge acquired to contexts different from those presented during the course, and deepen the topics covered using materials other than those proposed.

Knowledge and understanding
Classification of mathematical models: with concentrated and distributed parameters, stationary and dynamic; linear e not; based on ODE or PDE equations; in continuous or discrete time. First principles models. Models based on transport phenomena. SISO and MIMO systems; Inlet-outlet oriented models and models with representation in the state space. Logistic map. Time series. empirical and statistical models. Models
based on population budgets. Numerical solution of parabolic PDEs. Fundamentals of the problems of
constrained and unconstrained, linear and non-linear optimization. Definition of stability for systems with
input-output representation, in state space, both linear and non-linear.

Applied knowledge and understanding - engineering analysis:
Knowing how to classify mathematical models. Understanding of the meaning and implications of the
representation adopted in dynamic systems for the time, continuous or discrete, entails. Ability to
distinguish the level of complexity appropriate for the system description of the industrial plants of
process for the definition and resolution of the appropriate mathematical model.

Applied knowledge and understanding - engineering design
Choice and design (identification of parameters) of a control system. Dynamics modeling
of a transient system.

Independent judgment - engineering practice:
Discriminating between stable, marginally stable and always unstable linear dynamical systems. Distinguish the differences in behavior, conceptual and practical, in steady or dynamic conditions, between linear systems
and non-linear.
Set the gain of a PID controller as a single controller in relation to stability. Knowing
recognize the most common linear dynamical systems source of closed-loop BIBO instability and take the
related countermeasures. Verify and discuss the BIBO stability of a controlled linear dynamic system in
feedback with the use of software.

Transversal skills - communication skills:
Knowing how to prepare and manage an interactive session on a PC with the use of software, equipped with an interface both alphanumeric and graphic. Knowing how to carry out a practical test on a PC in which to report the discussion of a problem.

Transversal skills - ability to learn:
Knowing how to apply the knowledge acquired to contexts different from those presented during the course, and deepen the topics covered using materials other than those proposed.

	Prerequisites
	FOR THE SUCCESSFUL ACHIEVEMENT OF THE PREFIXED OBJECTIVES, A BASIC MATHEMATICAL KNOWLEDGE IS REQUIRED, IN PARTICULAR ON ORDINARY AND PARTIAL DIFFERENTIAL EQUATIONS, MASTERY OF MASS AND ENERGY BALANCES UNDER NON-STATIONARY CONDITIONS AND FUNDAMENTALS OF TRANSPORT PHENOMENA.

	Contents
	INTRODUCTION TO THE SPECIFIC SOFTWARE. PRELIMINARY NOTES ON MATLAB®¸ WITH ITS CONTROL TOOLBOX AND SISOTOOL® DESKTOP. H TH. 0, H EX. + LAB. 4 ROOT LOCUS: BIBO STABILITY STUDY WITH DIRECT AND INVERSE ROOT LOCUS. H TH. 6, H EX. + LAB. 4 FREQUENCY RESPONSE: AR AND PHASE; BODE DIAGRAMS. BIBO STABILITY STUDY BY FREQUENCY RESPONSE; BODE'S STABILITY CRITERION; GAIN AND PHASE MARGINS. NYQUIST DIAGRAMS; NYQUIST'S STABILITY CRITERION. H TH. 7, H EX. + LAB. 5 DISCUSSION OF OTHER PROBLEMS, STRATEGIES OR ARCHITECTURES IN CONTROL: AUTOTUNING, SELFTUNING. PADE EXPANSION. INVERSE RESPONSE SYSTEMS. SMITH'S PREDICTOR. LEAD-LAG. FEEDFORWARD, CASCADE, RATIO, ADAPTIVE, MULTIVARIABLE, INFERENTIAL CONTROL. HINTS ON MODEL-BASED PREDICTIVE CONTROL (MPC). H TH. 6, H EX. + LAB. 2 MODELING AND SIMULATION: CLASSIFICATION OF GENERAL MODELS AND THE MATHEMATICAL ONES IN GREATER DETAIL. HINTS ON MODELS BASED ON THE "POPULATION BALANCE". HINTS ON TIME SERIES. H TH. 11, H EX. + LAB 5. INTRODUCTION TO DYNAMIC ANALYSIS OF NONLINEAR SYSTEMS: REPRESENTATION OF DYNAMIC SYSTEMS IN THE STATE SPACE. AUTONOMOUS SYSTEMS. DIABATIC CSTR. CONSTANT AND DYNAMIC ASYMPTOTIC REGIMES. PHASE PORTRAIT, SOLUTION DIAGRAM. CONCEPT OF STABILITY AND ASYMPTOTIC STABILITY ACCORDING TO LYAPUNOV. STABILITY STUDY OF AUTONOMOUS LINEAR DYNAMICAL SYSTEMS OF THE 1ST AND 2ND ORDER. LOGISTIC MAP. HINTS ON DETERMINISTIC CHAOS. HINTS ON THE CONCEPT OF BIFURCATION. H TH. 6, H EX. + LAB. 4.

Contents

INTRODUCTION TO THE SPECIFIC SOFTWARE. PRELIMINARY NOTES ON MATLAB®¸ WITH ITS CONTROL TOOLBOX AND SISOTOOL® DESKTOP. H TH. 0, H EX. + LAB. 4
ROOT LOCUS: BIBO STABILITY STUDY WITH DIRECT AND INVERSE ROOT LOCUS. H TH. 6, H EX. + LAB. 4
FREQUENCY RESPONSE: AR AND PHASE; BODE DIAGRAMS. BIBO STABILITY STUDY BY FREQUENCY RESPONSE; BODE'S STABILITY CRITERION; GAIN AND PHASE MARGINS. NYQUIST DIAGRAMS; NYQUIST'S STABILITY CRITERION. H TH. 7, H EX. + LAB. 5
DISCUSSION OF OTHER PROBLEMS, STRATEGIES OR ARCHITECTURES IN CONTROL: AUTOTUNING, SELFTUNING. PADE EXPANSION. INVERSE RESPONSE SYSTEMS. SMITH'S PREDICTOR. LEAD-LAG. FEEDFORWARD, CASCADE, RATIO, ADAPTIVE, MULTIVARIABLE, INFERENTIAL CONTROL. HINTS ON MODEL-BASED PREDICTIVE CONTROL (MPC). H TH. 6, H EX. + LAB. 2
MODELING AND SIMULATION: CLASSIFICATION OF GENERAL MODELS AND THE MATHEMATICAL ONES IN GREATER DETAIL. HINTS ON MODELS BASED ON THE "POPULATION BALANCE". HINTS ON TIME SERIES. H TH. 11, H EX. + LAB 5.
INTRODUCTION TO DYNAMIC ANALYSIS OF NONLINEAR SYSTEMS: REPRESENTATION OF DYNAMIC SYSTEMS IN THE STATE SPACE. AUTONOMOUS SYSTEMS. DIABATIC CSTR. CONSTANT AND DYNAMIC ASYMPTOTIC REGIMES. PHASE PORTRAIT, SOLUTION DIAGRAM. CONCEPT OF STABILITY AND ASYMPTOTIC STABILITY ACCORDING TO LYAPUNOV. STABILITY STUDY OF AUTONOMOUS LINEAR DYNAMICAL SYSTEMS OF THE 1ST AND 2ND ORDER. LOGISTIC MAP. HINTS ON DETERMINISTIC CHAOS. HINTS ON THE CONCEPT OF BIFURCATION. H TH. 6, H EX. + LAB. 4.

	Teaching Methods
	THE COURSE CONSISTS IN 60H DIVIDED INTO 40H OF THEORY, 10 OF EXERCISES AND 10 OF LABORATORY WITH INTERACTIVE SOFTWARE. LECTURES MAY BE IN ENGLISH AND LECTURE SLIDES ARE ALL IN ENGLISH. ATTENDANCE AT THE LECTURES IS STRONGLY RECOMMENDED. TEACHING INVOLVES THEORETICAL LECTURES CONDUCTED BY THE LECTURERS WITH EXTENSIVE USE OF COMPUTERIZED SLIDES AND ANIMATIONS, EXERCISES CARRIED OUT BY THE LECTURER ALSO WITH INFORMATIC SUPPORT AND COMPUTER LAB CLASSES CONDUCTED BY THE LECTURER INTERACTIVELY WITH THE STUDENTS, USING APPROPRIATE LEARNING SOFTWARE. EACH STUDENT IS ASSIGNED A USER NAME AND A PASSWORD, ALLOWING ACCESS IN THE COMPUTER CLASSROOM TO NETWORKED PCS PROVIDED WITH MATLAB® LICENSE WITH ITS CONTROL TOOLBOX AND SISOTOOL® DESKTOP. EACH STUDENT CAN INSTALL AND USE THE LICENSE OF THE UPDATED VERSION OF MATLAB® OF THE UNIVERSITY, BY DOWNLOADING IT FROM HTTPS://WEB.UNISA.IT/SERVIZI-ON-LINE/MATLAB-X-UNISA. ALL COURSE SLIDES, OTHER NOTES AND TEXTS OF PREVIOUS WRITTEN EXAMS ARE MADE AVAILABLE BY THE LECTURER ON THE MS TEAMS® PLATFORM OF UNIVERSITY.

Teaching Methods

THE COURSE CONSISTS IN 60H DIVIDED INTO 40H OF THEORY, 10 OF EXERCISES AND 10 OF LABORATORY WITH INTERACTIVE SOFTWARE.
LECTURES MAY BE IN ENGLISH AND LECTURE SLIDES ARE ALL IN ENGLISH.
ATTENDANCE AT THE LECTURES IS STRONGLY RECOMMENDED.
TEACHING INVOLVES THEORETICAL LECTURES CONDUCTED BY THE LECTURERS WITH EXTENSIVE USE OF COMPUTERIZED SLIDES AND ANIMATIONS, EXERCISES CARRIED OUT BY THE LECTURER ALSO WITH INFORMATIC SUPPORT AND COMPUTER LAB CLASSES CONDUCTED BY THE LECTURER INTERACTIVELY WITH THE STUDENTS, USING APPROPRIATE LEARNING SOFTWARE. EACH STUDENT IS ASSIGNED A USER NAME AND A PASSWORD, ALLOWING ACCESS IN THE COMPUTER CLASSROOM TO NETWORKED PCS PROVIDED WITH MATLAB® LICENSE WITH ITS CONTROL TOOLBOX AND SISOTOOL® DESKTOP. EACH STUDENT CAN INSTALL AND USE THE LICENSE OF THE UPDATED VERSION OF MATLAB® OF THE UNIVERSITY, BY DOWNLOADING IT FROM HTTPS://WEB.UNISA.IT/SERVIZI-ON-LINE/MATLAB-X-UNISA.
ALL COURSE SLIDES, OTHER NOTES AND TEXTS OF PREVIOUS WRITTEN EXAMS ARE MADE AVAILABLE BY THE LECTURER ON THE MS TEAMS® PLATFORM OF UNIVERSITY.

	Verification of learning
	THE ACHIEVEMENT OF THE PREFIXED GOALS IS ASSESSED BY MEANS OF TWO TESTS, BOTH WITH AN INDIVIDUAL MARK UP TO 30, WHICH THE STUDENT MAY ASK TO DO EVEN DISTANT OVER TIME: 1) A PRACTICAL TEST LASTING 1H ON THE BIBO STABILITY OF LINEAR DYNAMIC FEEDBACK SYSTEMS. THE TEST INVOLVES PERFORMING AN ESSAY DIRECTLY ON PC, IN MS WORD®, AND EMBODYING THE RESULTS OBTAINED WITH MATLAB® AND THE CONTROL TOOLBOX, WHILE KEEPING ALL THE COURSE MATERIAL AT FINGERTIPS. THE PRACTICAL TEST IS PASSED WITH THE LOWEST SCORE (18/30) IF THE STUDENT HAS USED AT LEAST ONE OF THE METHODS ON THE BIBO STABILITY OF LINEAR DYNAMIC FEEDBACK SYSTEMS AND AT THE SAME TIME PROVIDED CORRECT ANSWERS TO 60% OF THE QUESTIONS. 2) A SUBSEQUENT ORAL INTERVIEW THAT FOCUSES ON ADVANCED CONTROL, MATHEMATICAL MODELING AND NONLINEAR DYNAMICAL SYSTEMS; ON THESE SUBJECTS, IF THE STUDENT DEMONSTRATES THE COMPARATIVE KNOWLEDGE, APPLIED COMPREHENSION CAPACITY AND CRITICAL JUDGMENT AUTONOMY, AS DESCRIBED IN THE PREVIOUS PARAGRAPHS, GETS THE HIGHEST MARK (30); VICE VERSA, IF THE STUDENT CORRECTLY ANSWERS TO JUST ONE QUESTION, GETS THE MINIMUM MARK (18). THE FINAL MARK IS THE ARITHMETIC AVERAGE OF THE TWO TESTS. IN ORDER TO GET THE MARK “CUM LAUDE”, BOTH THE QUANTITY (COMPREHENSIVE AND NUMERICALLY CORRECT ANSWERS TO ABOUT 90% OF THE QUESTIONS) AND THE QUALITY (APPROPRIATE SCIENTIFIC LANGUAGE AND MASTERY OF THE SUBJECT) ARE TAKEN INTO ACCOUNT OF BOTH WRITTEN AND ORAL EXPOSITIONS.

Verification of learning

THE ACHIEVEMENT OF THE PREFIXED GOALS IS ASSESSED BY MEANS OF TWO TESTS, BOTH WITH AN INDIVIDUAL MARK UP TO 30, WHICH THE STUDENT MAY ASK TO DO EVEN DISTANT OVER TIME:
1) A PRACTICAL TEST LASTING 1H ON THE BIBO STABILITY OF LINEAR DYNAMIC FEEDBACK SYSTEMS. THE TEST INVOLVES PERFORMING AN ESSAY DIRECTLY ON PC, IN MS WORD®, AND EMBODYING THE RESULTS OBTAINED WITH MATLAB® AND THE CONTROL TOOLBOX, WHILE KEEPING ALL THE COURSE MATERIAL AT FINGERTIPS. THE PRACTICAL TEST IS PASSED WITH THE LOWEST SCORE (18/30) IF THE STUDENT HAS USED AT LEAST ONE OF THE METHODS ON THE BIBO STABILITY OF LINEAR DYNAMIC FEEDBACK SYSTEMS AND AT THE SAME TIME PROVIDED CORRECT ANSWERS TO 60% OF THE QUESTIONS.
2) A SUBSEQUENT ORAL INTERVIEW THAT FOCUSES ON ADVANCED CONTROL, MATHEMATICAL MODELING AND NONLINEAR DYNAMICAL SYSTEMS; ON THESE SUBJECTS, IF THE STUDENT DEMONSTRATES THE COMPARATIVE KNOWLEDGE, APPLIED COMPREHENSION CAPACITY AND CRITICAL JUDGMENT AUTONOMY, AS DESCRIBED IN THE PREVIOUS PARAGRAPHS, GETS THE HIGHEST MARK (30); VICE VERSA, IF THE STUDENT CORRECTLY ANSWERS TO JUST ONE QUESTION, GETS THE MINIMUM MARK (18).
THE FINAL MARK IS THE ARITHMETIC AVERAGE OF THE TWO TESTS.
IN ORDER TO GET THE MARK “CUM LAUDE”, BOTH THE QUANTITY (COMPREHENSIVE AND NUMERICALLY CORRECT ANSWERS TO ABOUT 90% OF THE QUESTIONS) AND THE QUALITY (APPROPRIATE SCIENTIFIC LANGUAGE AND MASTERY OF THE SUBJECT) ARE TAKEN INTO ACCOUNT OF BOTH WRITTEN AND ORAL EXPOSITIONS.

	Texts
	1. MAGNANI G., P. FERRETTI E P.ROCCO, “TECNOLOGIE DEI SISTEMI DI CONTROLLO”, 2° ED., ISBN 88 386 6321-1, MCGRAW-HILL LIBRI ITALIA 2. STEPHANOPOULOS G., “CHEMICAL PROCESS CONTROL: AN INTRODUCTION TO THEORY AND PRACTICE”, PRENTICE HALL, ISBN 0131286293, 1983 3. CHAU P. C., “PROCESS CONTROL - A FIRST COURSE WITH MATLAB®”, ISBN-13: 9780521002554, ISBN-10: 0521002559, CAMBRIDGE UNIVERSITY PRESS, 2002 4. ROMAGNOLI, J.A., & PALAZOGLU, A. (2020). INTRODUCTION TO PROCESS CONTROL (3RD ED.). CRC PRESS. HTTPS://DOI.ORG/10.1201/9780429351396 5. MS TEAMS® CLASS

Texts

1.
MAGNANI G., P. FERRETTI E P.ROCCO, “TECNOLOGIE DEI SISTEMI DI CONTROLLO”, 2° ED., ISBN 88 386 6321-1, MCGRAW-HILL LIBRI ITALIA
2.
STEPHANOPOULOS G., “CHEMICAL PROCESS CONTROL: AN INTRODUCTION TO THEORY AND PRACTICE”, PRENTICE HALL, ISBN 0131286293, 1983
3.
CHAU P. C., “PROCESS CONTROL - A FIRST COURSE WITH MATLAB®”, ISBN-13: 9780521002554, ISBN-10: 0521002559, CAMBRIDGE UNIVERSITY PRESS, 2002
4.
ROMAGNOLI, J.A., & PALAZOGLU, A. (2020). INTRODUCTION TO PROCESS CONTROL (3RD ED.). CRC PRESS. HTTPS://DOI.ORG/10.1201/9780429351396
5.
MS TEAMS® CLASS

	More Information
	THE COURSE IS IN ITALIAN. WEB SITE FOR BOTH PERSONAL STUDY AND EXAMINATION SCORES: HTTP://COMET.ENG.UNIPR.IT/~MICCIO MS TEAMS® UNIVERSITY PLATFORM “MODELLISTICA MATEMATICA E CONTROLLO PER L'INDUSTRIA DI PROCESSO – 0622200024”

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Michele MICCIO | MODELING AND CONTROL FOR PROCESS INDUSTRIES