Ingegneria Elettronica | Advanced Automatic Control
Ingegneria Elettronica Advanced Automatic Control
cod. 0622400010
ADVANCED AUTOMATIC CONTROL
0622400010 | |
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | |
EQF7 | |
ELECTRONIC ENGINEERING | |
2020/2021 |
OBBLIGATORIO | |
YEAR OF COURSE 1 | |
YEAR OF DIDACTIC SYSTEM 2018 | |
PRIMO SEMESTRE |
SSD | CFU | HOURS | ACTIVITY | |
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ING-INF/04 | 9 | 90 | LESSONS |
Objectives | |
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ANALYSIS AND DESIGN OF CONTINUOUS AND DISCRETE TIME DETERMINISTIC AND STOCHASTIC CONTROL SYSTEMS. LEARNING OF MOST MODERN METHODOLOGIES OF DYNAMIC SYSTEM CONTROLLER DESIGN KNOWLEDGE AND UNDERSTANDING ABILITY ADVANCED TECHNIQUES FOR THE CONTROL OF DYNAMIC SYSTEMS. ANALYSIS OF NONLINEAR SYSTEMS. OPTIMAL CONTROL. KNOWLEDGE AND UNDERSTANDING KNOWING HOW TO DESIGN EXCELLENT CONTROLLERS FOR LINEAR DYNAMIC SYSTEMS. TO BE ABLE TO ANALYZE LINEAR AND NONLINEAR CONTROL SYSTEMS. AUTONOMY OF JUDGMENT KNOWING HOW TO IDENTIFY THE MOST APPROPRIATE METHODS FOR FEEDBACK CONTROL OF DYNAMIC SYSTEMS AT ONE INPUT AND ONE OUTPUT. COMMUNICATION SKILLS KNOWING HOW TO EXPOSE A TOPIC OF THE COURSE ORALLY. KNOWING HOW TO WRITE A REPORT ON AN ANALYSIS OR A PROJECT CARRIED OUT. KNOWLEDGE AND UNDERSTANDING ABILITY BASIC OPTIMIZATION TECHNIQUES. ADVANCED TECHNIQUES FOR THE CONTROL OF DYNAMIC SYSTEMS. ANALYSIS OF NONLINEAR SYSTEMS. OPTIMAL CONTROL. STOCHASTIC SYSTEMS ANALYSIS APPLIED KNOWLEDGE AND UNDERSTANDING ABILITY KNOWING HOW TO DESIGN OPTIMAL CONTROLLERS FOR LINEAR SYSTEMS KNOWING HOW TO ANALYZE LINEAR AND NONLINEAR CONTROL SYSTEMS. KNOWING HOW TO IMPLEMENT OPTIMAL ESTIMATION ALGORITHMS AUTONOMY OF JUDGMENT KNOWING HOW TO IDENTIFY THE MOST APPROPRIATE METHODS FOR FEEDBACK CONTROL OF DYNAMIC MONOVARIABLE SYSTEMS . COMMUNICATION SKILLS KNOWING HOW TO EXPOSE A TOPIC OF THE COURSE ORALLY. KNOWING HOW TO WRITE A REPORT ON AN ANALYSIS OR A PROJECTCARRIED OUT. ABILITY TO LEARN KNOWING HOW TO APPLY THE ACQUIRED KNOWLEDGE TO DIFFERENT CONTEXTS FROM THOSE PRESENTED DURING THE COURSE, AND TO DEEPEN THEMTOPICS COVERED USING MATERIALS OTHER THAN THOSE PROPOSED. . |
Prerequisites | |
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BASIC MATHEMATICS, WITH PARTICULAR REFERENCE TO LINEAR ALGEBRA COMPLEX ANALISYS, MULTIVARIABLE CALCULUS, BASIC CONCEPTS OF PROBABILITY IN ADDITION TO KNOWLEDGE ABOUT CLASSICAL CONTROLLER PROJECT METHODS AND TO THOSE OF ANALYSIS OF DETERMINISTIC AND RANDOM SIGNALS. |
Contents | |
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PART A (60 HOURS) OPTIMAL CONTROL CONCEPT MAXIMUM AND MINIMUM OF FUNCTIONS UNCONSTRAINED OPTIMIZATION METHODS EQUALITY CONSTRAINTS AND LAGRANGE MULTIPLIERS MATHEMATICAL PROGRAMMING CALCULUS OF VARIATIONS, EQUATIONS OF EULER LAGRANGE OPTIMAL CONTROL IN THE ABSENCE OF CONSTRAINTS THE MAXIMUM PRINCIPLE OPTIMAL CONTROL PROBLEMS FOR DISCRETE TIME BELLMAN'S PRINCIPLE AND DYNAMIC PROGRAMMING HAMILTON JACOBI BELLMAN EQUATION MINIMUM TIME CONTROL PROBLEMS , MINIMUM CONSUMPTION, MINIMUM ENERGY, MIXED PROBLEMS, SINGULAR SOLUTIONS. LINEAR QUADRATIC OPTIMAL CONTROL PROBEMS: CONTINUOUS FORMULATION AND DISCRETE FORMULATION INFINITE TIME PROBLEMS, OPTIMAL LQ REGULATORS SINTESYS SPECTRAL PROPERTIES OF THE LQ REGULATORS, HAMILTONIAN MATRIX AND FREQUENCY ANALYSIS INTRODUCTION TO THE CONCEPTS OF ESTIMATING AND IDENTIFYING MODELS LEAST SQUARES ESTIMATE, BATCH FORMULATION AND RECURSIVE FORMULATION, KALMAN FILTER STOCHASTIC OPTIMAL CONTROL, DYNAMIC PROGRAMMING IN THE STOCHASTIC CASE, LQG REGULATORS PART B (30 HOURS) INTRODUCTION TO MATLAB AND SIMULINK CONTROL SYSTEM TOOLBOX ADVANCED CONTROL SCHEMES OPEN LOOP REGULATORS, CASCADE REGULATORS, CONTROL OF UNSTABLE SYSTEMS NON-LINEAR CONTROL SYSTEMS PRELIMINARY CONSIDERATIONS PERMANENT OSCILLATIONS: THE DESCRIPTIVE FUNCTION METHOD ABSOLUTE STABILITY: CIRCLE AND POPOV CRITERIA ANALYSIS OF NON-LINEAR SYSTEMS LYAPUNOV STABILITY STUDY PID REGULATORS DIRECT SYNTHESIS OF DIGITAL CONTROL SYSTEMS REQUIREMENTS AND SPECIFICATIONS, SYNTHESIS THROUGH ROOT LOCUS |
Teaching Methods | |
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TEACHING INCLUDES THEORETICAL LESSONS, CLASSROOM EXERCISES AND EXERCISES INLABORATORY. IN THE CLASSROOM ARE ASSIGNED, PERFORMED AND COMMENTED EXERCISES TO BE RESOLVED BY USING SCIENTIFIC CALCULATOR AND DIAGRAMS. IN THE LABORATORY EXERCISED SIMULINK AND MATLAB WILL BE USED |
Verification of learning | |
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THE TEST OF EXAMINATION IS AIMED TO EVALUATE IN ITS COMPLEX: THE KNOWLEDGE AND THE UNDERSTANDING OF THE CONCEPTS PRESENTED IN THE COURSE; THE ABILITY TO APPLY SUCH KNOWLEDGE FOR THE RESOLUTION OF ANALYSIS AND CONTROL PROBLEMS OF DYNAMIC SYSTEMS; THE JUDGMENT SKILLS, COMMUNICATION SKILLS AND LEARNING SKILLS THE EXAM CONSISTS IN AN INTERVIEW ORAL, WHOSE PURPOSE IS TO ASSESS THE KNOWLEDGE AND UNDERSTANDING SKILLS, THE ABILITY TO LEARN DEMONSTRATED. DURING THE ORAL INTERVIEW, THE STUDENT MUST PREVIOUSLY DESCRIBE THE PROJECT DEVELOPED DURING THE COURSE AND ITS PARTICULAR CONTRIBUTION IN THE CASE OF GROUP WORK. THE INTERVIEW WILL THEN BE ON ALL THE TOPICS OF THE COURSE AND THE EVALUATION WILL BE HELD ACCOUNT OF KNOWLEDGE PROVEN BY THE STUDENT AND THE DEGREE OF THEM DEEPENING, ABILITY TO LEARN DEMONSTRATED, OF QUALITY EXPOSURE. THE FINAL EVALUATION, EXPRESSED IN THIRTY YEARS, WILL DEPEND ON THE MATURITY ACQUIRED ON THE CONTENTS OF THE COURSE, TAKING INTO ACCOUNT THE QUALITY OF THE EXHIBITION OF THE PROJECT AND THE AUTONOMY OF JUDGMENT DEMONSTRATED. THE PRAISE CAN BE ATTRIBUTED TO THE STUDENTS WHO DEMONSTRATE THAT YOU KNOW HOW TO APPLY THE KNOWLEDGE ACQUIRED WITH AUTONOMY ALSO IN CONTEXTS DIFFERENT FROM THOSE PROPOSED IN THE COURSE. |
Texts | |
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-R.F. STENGEL, OPTIMAL CONTROL AND ESTIMATION, DOVER PUBNS 1994, ISBN-13: 978-0486682006 -P. BOLZERN, R. SCATTOLINI, N. SCHIAVONI, FONDAMENTI DI CONTROLLI AUTOMATICI 4 ED , MCGRAW-HILL, MILANO, 2008, ISBN 978-88-386-6882-1. |
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