Linear systems: analysis and control (ME)

Informations générales

  • ECTS

    ECTS 2

Goal(s)

Give some basis of modelling and control of physical systems through state space representations.
Skills: get some knowledges

Content(s)

1 Introduction: Why study state-space systems ?

2 Modelling of dynamical systems

Some physical examples, linear and non linear equations, Linearisation around steady state operations, equivalence with transfer functions, canonical forms, solution of state space equations.

3 Properties

non unicity, , stability, controllability, observability, Kalman decomposition.

4 State feedback control : Definition, pole placement control

5 Observer : Observer design, observer-based controller, separation principle, disturbance rejection

6 Integral Control

7 Some features of discrete-time systems

Z-transform, poles/zeros, stability, state space equations and properties

8 Towards computer controller systems

Choice of sampling period, stability, Approximating Continuous - Time Controllers

Implementation of Digital Controllers

Prerequisites :

Linear Algebra, Transfer functions

Test

DS 2 h + Contrôle Continu

Calendar

S2

Additional Information

28h =12 h CM + 14 h BE + 2 hDS

Bibliography

Modern Control Systems, R.Dorf, prentice hall, 2005

Feedback Control of Dynamic Systems, by Gene F. Franklin
J. David Powell, Abbas Emami-Naeini, Prentice hall, 2005

French State controlled diploma conferring a Master's degree

diplôme conférant grade de master contrôlé par l'Etat