- Docente: Alessandro Macchelli
- Credits: 9
- SSD: ING-INF/04
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Automation Engineering (cod. 0920)
Learning outcomes
Methods for the definition of models of dynamic systems with a physical-mathematic approach. Knowledge of the main simulation techniques and of the simulation packages for fast prototyping of control systems. Analysis of the properties of stationary, linear dynamic systems in the time and frequency domains.
Course contents
The aim of this course is twofold. To provide competencies and methodologies for the mathematical modelling and simulation of dynamic systems. Both state-space and energy-based approaches are treated over various physical domains: electrical, mechanical, electromechanical, hydraulic, thermal. Then, to give basic notions about analysis of control linear systems. The emphasis is mainly focused to present tools in the frequency domain useful for design purposes.
The main topics covered by this introductive course can be summarized as follows: Introduction to modelling and control problems; Classification of models (linear, non linear, time-invariant); Constructing state-space models of dynamic systems belonging to different physical domains: electrical, mechanical, electromechanical, hydraulic, thermal; A unifying approach in dynamic system modelling: effort and flow variables. Engineering multi-ports and power ports. Computer simulation of dynamic systems; Equilibrium points and motions, linearization; Stability concepts, Lyapunov criteria; Laplace transform and transfer function, modes of a dynamical systems; Stability, analysis of systems' response in the time domain (first-second order systems), effect of zeros in the transient response; Fourier series and transforms, steady state theorem and harmonic response function, Bode diagrams, system's classification according to harmonic properties, filtering; Root locus and sensitivity functions.
Readings/Bibliography
[1] P. Bolzern, R. Scattolini, N. Schiavoni, Fondamenti di controlli automatici, McGraw Hill. [2] Notes prepared by the professor
Teaching tools
Beamer + PC and blackboard.
Office hours
See the website of Alessandro Macchelli