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B002348 - FUNDAMENTALS OF CONTROL ENGINEERING
Main information
Teaching Language
Course Content
Suggested readings
Teaching Methods
Course program
Academic Year 2019-20
Coorte 2018 - 3-years First Cycle Degree (DM 270/04) in Electronics and Telecommunications Engineering
Course year
Second year - Second Semester
Belonging Department
Information Engineering (DINFO)
Course Type
Single education field course
Scientific Area
ING-INF/04 - SYSTEMS AND CONTROL ENGINEERING
Credits
9
Teaching Hours
81
Teaching Term
02/03/2020 ⇒ 12/06/2020
Attendance required
No
Type of Evaluation
Final Grade
Course Content
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Course program
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Lectureship
Teaching Language
Italian
Course Content
Modeling and simulation of dynamical systems.
Analysis of continuous time linear systems: state models, input/output models, stability.
Analysis of feedback control systems: time domain and frequency domain techniques.
Synthesis of feedback control systems: trial-and-error, PID controllers.
Sample data systems.
Analysis of continuous time linear systems: state models, input/output models, stability.
Analysis of feedback control systems: time domain and frequency domain techniques.
Synthesis of feedback control systems: trial-and-error, PID controllers.
Sample data systems.
Suggested readings (Search our library's catalogue)
- Basso, Chisci, Falugi: Fondamenti di automatica, CittàStudi, 2007.
https://onesearch.unifi.it:443/39UFI_V1:AllResources:39sbart_almap7151292630003302
- Bolzern, Scattolini e Schiavoni: Fondamenti di controlli automatici, 3a edizione, Mc Graw-Hill Italia, Milano, 2008.
Altro materiale:
- Appunti del docente
- Cavallo, Setola e Vasca: La nuova guida a Matlab, Simulink e Control Toolbox, 2002.
https://onesearch.unifi.it:443/39UFI_V1:AllResources:39sbart_almap7151292630003302
- Bolzern, Scattolini e Schiavoni: Fondamenti di controlli automatici, 3a edizione, Mc Graw-Hill Italia, Milano, 2008.
Altro materiale:
- Appunti del docente
- Cavallo, Setola e Vasca: La nuova guida a Matlab, Simulink e Control Toolbox, 2002.
Teaching Methods
Class lessons.
Course program
1. MODELING AND SIMULATION
- State space and input-output models.
- Linear models and main properties.
- Numerical simulations of linear and nonlinear dynamical systems (MATLAB+SIMULINK).
2. ANALYSIS OF LINEAR TIME INVARIANT SYSTEMS
- Laplace transform.
- Transfer function and impulse response.
- Time domain analysis.
- Stability.
- Routh-Hurwitz criterion.
- Step response.
- Oscillations and frequency response.
- Bode and Nyquist diagrams.
3. ANALYSIS OF FEEDBACK SYSTEMS
- Internal stability.
- Nyquist criterion.
- Stability margins.
- Steady-state analysis.
- Specifications in time-domain.
- Specifications in frequency domain.
- Root locus.
4. SYNTHESIS OF FEEDBACK CONTROL SYSTEMS
- Lead and lag compensators.
- Synthesis in the open-loop frequency domain.
- PID controllers.
5. SAMPLED DATA SYSTEMS
- Analysis of discrete-time systems.
- Discretization methods.
- Controller synthesis for sampled data systems.
- State space and input-output models.
- Linear models and main properties.
- Numerical simulations of linear and nonlinear dynamical systems (MATLAB+SIMULINK).
2. ANALYSIS OF LINEAR TIME INVARIANT SYSTEMS
- Laplace transform.
- Transfer function and impulse response.
- Time domain analysis.
- Stability.
- Routh-Hurwitz criterion.
- Step response.
- Oscillations and frequency response.
- Bode and Nyquist diagrams.
3. ANALYSIS OF FEEDBACK SYSTEMS
- Internal stability.
- Nyquist criterion.
- Stability margins.
- Steady-state analysis.
- Specifications in time-domain.
- Specifications in frequency domain.
- Root locus.
4. SYNTHESIS OF FEEDBACK CONTROL SYSTEMS
- Lead and lag compensators.
- Synthesis in the open-loop frequency domain.
- PID controllers.
5. SAMPLED DATA SYSTEMS
- Analysis of discrete-time systems.
- Discretization methods.
- Controller synthesis for sampled data systems.