Automatic Control - 4EUS3AUT

Number of hours
- Lectures 30.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works 30.0
ECTS
ECTS 5.0

Goal(s)

Definition, analysis and control of linear-time-invariant discrete-time systems.

State space modelisation of linear (continuous and discrete time) systems.

State space modelisation and linearisation of non linear systems.

Design a pole placement controller using the polynomial approach.
Understand the implementation constraints.

Responsible(s)

Hayate KHENNOUF

Content(s)

CM : 30h

Introduction
Sampled-time systems
Performances of sampled-time systems
Digital control

System description in state space
Linearisation
Different state space representations (controllable, modal ..)
Solution to state space equations
Properties (nonuniqueness, stability, controllability, observability)

Definition of the sensitivity functions
Definition of performance and robustness criteria
The polynomial approach to the pole placement problem
Implementation of digital controllers (prefiltering, computation time, controller realizations, quantification)
Limitations due to actuators/sensors (anti windup)
Analysis of disturbance effects
Analysis of modelling uncertainties, robustness

Technical sessions (PW) 12h + Computer sessions 18h.

Prerequisites

M6 + module intégrateur de 1A

Test

Session 1
Final assessment (ET1) : 3 hours supervised written exam + MCQ
Continuous assessment (CC1) :BE : summary reports, oral defense with slides, Lab reports (TP)
CC1 mark is 40% x Lab reports (TP) + 60% Mark from the BE.
BE's mark is based on the work carried out during the sessions, on the summary reports and on an oral presentation with slides.
The TP mark is based on the work carried out during the sessions and on the lab reports.

Session 2
Final exam : new assessment (ET2) to replace session 1 assessment (ET1)
Continous assessment : session 1 assessment (CC1) retained, no resit for CC1

Calendar

The course exists in the following branches: