Unit PRINCIPLES OF AUTOMATIC CONTROL
- Course
- Computer science and electronic engineering
- Study-unit Code
- 70A00058
- Curriculum
- In all curricula
- Teacher
- Mario Luca Fravolini
- Teachers
-
- Mario Luca Fravolini
- Hours
- 81 ore - Mario Luca Fravolini
- CFU
- 9
- Course Regulation
- Coorte 2020
- Offered
- 2021/22
- Learning activities
- Caratterizzante
- Area
- Ingegneria informatica
- Academic discipline
- ING-INF/04
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- • Model of real systems
• Analysis of linear systems
• Controlled systems
• Analisi of feedback control systems
• Root Locus
• Specifications
• Matlab - Reference texts
- - P. Bolzern, R. Scattolini, N. Schiavoni :Fondamenti di controlli automatici 3/ed Mc Graw-Hill, 2008
- Educational objectives
- The main purpose of this course consists of providing notions about the rational employment of the main tools for the analysis and design of continuous time linear time invariant control systems.
- Prerequisites
- Analisi Matematica I e Fisica I
- Teaching methods
- The activity are organized as follows:
standard lectures and exercises in classroom - Other information
- -
- Learning verification modality
- • The examination consists of a written and an oral test.
• The written test duration is 2.5 hours.
• The written test consists of 2 exercises and an open question.
• The first and second exercise deals with continuous time control systems analysis and design
• The open question requires the schematic illustration of a topic discussed during the course.
• The oral exam, typically, takes place some days following the written text. - Extended program
- • Modellign of real systems
Modeling of real systems: examples. Input-output models, Linear models.
• Linear systems analysis
Laplace Transform for the analysis of linear systems. System natural modes and Stability. Analysis of the step response of first and second order systems. Harmonic response, Bode and Nyquist diagrams.
• Controlled systems
Open loop, feedback and feedforward control. Sensitivity functions, improvement of the dynamic response. Effect of the system and of the measurement noise. Attenuation and rejection of the disturbances
• Analysis of feedback control systems
Stability of feedback control systems in the frequency and time domain. Routh Criterion and Nyquist Criterion, Stability margins and stability in perturbed conditions. Steady state error.
• Root locus
Root locus for the analysis of continuous and discrete time systems. Rules for the root locus design. Employment of the Root locus for the stabilization and in the design of the regulator.
• Design Specifications
Steady state and dynamic design specifications.
The controller design problem in the frequency domain
• matlab
Employment of matlab for the analyses and simulation of linear dynamical systems