Automatic Control - 4EUS3AUT

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.

M6 + module intégrateur de 1A

Test

Session 1
Final assessment (ET1) : 3 hours supervised written exam + MCQ
Continuous assessment (CC1) :60% mark from BE, 40% mark from labs (TP)
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 (ET2) : new assessment (ET2) to replace session 1 assessment (ET1)
Continous assessment (CC2) : no resit for continuous assessment, session 1 assessment retained (CC1=CC2)

Calendar

The course exists in the following branches:

• Curriculum - Master's Degree in Engineering ASI - Semester 7

Additional Information

Course ID : 4EUS3AUT
Course language(s):

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