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B024416 - ELEMENTS OF CONTROL ENGINEERING
Main information
Teaching Language
Course Content
Suggested readings
Teaching Methods
Course program
Academic Year 2018-19
Course year
Third year - Second Semester
Belonging Department
Industrial Engineering (DIEF)
Course Type
Single education field course
Scientific Area
ING-INF/04 - SYSTEMS AND CONTROL ENGINEERING
Credits
6
Teaching Hours
54
Teaching Term
25/02/2019 ⇒ 07/06/2019
Attendance required
No
Type of Evaluation
Final Grade
Course Content
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Course program
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Lectureship
Mutuality
Course teached as:
B002348 - FONDAMENTI DI AUTOMATICA
3-years First Cycle Degree (DM 270/04) in ELECTRONICS AND TELECOMMUNICATIONS ENGINEERING
B002348 - FONDAMENTI DI AUTOMATICA
3-years First Cycle Degree (DM 270/04) in ELECTRONICS AND TELECOMMUNICATIONS ENGINEERING
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.
- 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.
- 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.
- Root locus synthesis.
- 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.
- Root locus synthesis.
- PID controllers.
5. SAMPLED DATA SYSTEMS
- Analysis of discrete-time systems.
- Discretization methods.
- Controller synthesis for sampled data systems.