General Engineering Program
5-year combined undergraduate / graduate Engineering programs
General Data
Academic program General Engineering Program :
Type d'EC Classes
Lectures : 22h00
Tutorials : 6h00
Lab Work : 8h00
Total duration : 50h00
Status :
Period :
SEMESTER 5
Education language :
French/English
Learning Outcomes
Introduction to different notions and basic concepts of linear automation
- Ability to set up and find the resolution of a regulatory problem by defining the inputs/outputs of the process concerned and following a rigorous approach.
- Tools and concepts to identify the dynamic behavior of industrial processes.
- Continuous time system control techniques and their applications.
- Regulator main methods, limits, and usual applications.
- Method technical vocabulary.
- Ability to choose a solution adapted to the processes to be controlled according to the industry imposed specifications.
Content
Chapter 1: Generalities and examples, the notion of regulation, the notion of the closed loop, the specifications loads, pose a regulation problem through an example.
- Chapter 2: Study of signals, modeling (knowledge model and a behavior model), place transform, transfer function, block diagram.
- Chapter 3: Temporal analysis (Fdt of order 1, Fdt of order 2 ...), map of poles and zeros, graphic modeling.
- Chapter 4: The classical control laws (PI, PD, PID, AvancePH, RetardPH ...), empirical methods of synthesis of correctors, methods of synthesis not compensation of the poles.
- Chapter 5: Summary of correctors by pole placement, reference system, Evans location.
- Chapter 6: Synthesis of correctors by frequency approach, frequency analysis of the behavior of a
process (Places of Bode, Black, Nichols, Nyquist….)
Practical work :
TP1: Direct current machine speed regulation.
TP2: Single column level control
Pre-requisites / co-requisites
Introduction to Automation
Bibliography
1-.F. Franklin, J.D. Powell, and A. Emami-Naeini, "Feedback Control of Dynamic Systems," Prentice Hall, 4th edition (2002)
2-K. Ogata. Discrete-time control systems. Prentice Hall, Upper Saddle River, New Jersey, 1995.
3-K. Ogata. Modern Control Engineering. Prentice Hall, Upper Saddle River, New Jersey, 1997.
4-R. C. Dorf and R. H. Bishop. Modern control systems. Prentice Hall, Upper Saddle River, New Jersey.
Assessment(s)
Nature Coefficient Observable objectives
1Written exam2
2Practical work1