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Ability for design and analysis of Hinfinity controlllers, knowledge on Linear Parameter Varying systems, know-how on robustness analysis methods
The main objective is to study a mechatronics approach for conceiving and for dimensioning intelligent systems.
ROBUST CONTROL COURSE
Introduction
Industrial examples (automotive and electromechanical applications).
1 Tools
Hinf norm, Small Gain theorem
Introduction to LMIs (definition, use of LMIs for stability analysis and control design)
2 Performance analysis
MIMO sensitivity functions, frequency-domain performance indices (sensitivity functions, stability and robustness margins, bandwidth, SISO and MIMO cases)
3 Hinf control design
Performance Specifications (selection of weighting functions, Mixed sensitivity problem)
Solving the Hinf control problem: General control conguration, Hinf controller structure (state feedback, dynamic output feedback), Problem solution using Riccati equations or LMIs -Bounded Real Lemma)
4 Linear Parameter Varying systems
Definition, stability issue, observer and control design
5 Uncertainty and robustness
Modelling the uncertainties (unmodelled dynamics, unstructured uncertainties, structured uncertainties, LFT representation)
Robust stability analysis (small gain theorem - unstructured uncertainties)
Robust performance analysis
mu-analysis - structured uncertainties
Modelisation, simulation and conception of mechatronic systems. Industrial and mobile robotics notions. Specification and evaluation of dynamical performances. Embedded control systems and reference generation. Disturbance estimation and adaptive rejection of disturbances. Fault-tolerant control notions. Code implementation in microprocessors.
PrerequisitesUE Automatique 1 (Automatic control 1)
UE Actionneurs (Actuators)
UE Systèmes Temps-réel (Real-time systems)
Linear Systems, Transfer and state space approach, frequency and time-domain analysis
Written exam : 30%
Continuous assessment : 70%
Moyenne de l'UE / Course Unit assessment = ER 33.3% + EN 66.6%
The exam is given in english only
The course exists in the following branches:
Course ID : 5EU9RCM0
Course language(s):
You can find this course among all other courses.
Mechatronic Systems: Fundamentals
Par Rolf Isermann
Springer Science & Business Media, 29 déc. 2007 - 624 pages
1. D. Alazard, C. Cumer, P. Apkarian, M. Gauvrit, and G. Ferreres. Robustesse et commande optimale. Cpadues Editions, 1999.
2. J.C. Doyle, B.A. Francis, and A.R. Tannenbaum. Feedback control theory. Macmillan Publishing Company, New York, 1992.
https://sites.google.com/site/brucefranciscontact/Home/publications
3. G. Duc and S. Font. Commande H1 et -analyse: des outils pour la robustesse. Herms, France, 1999.
4. G.C. Goodwin, S.F. Graebe, and M.E. Salgado. Control System Design. Prentice Hall, New Jersey, 2001.
csd.newcastle.edu.au
5. Scherer, C. and Wieland, S. (2004). Linear Matrix inequalities in Control. lecture support, DELFT University.
6. S. Skogestad and I. Postlethwaite. Multivariable Feedback Control: analysis and design. John Wiley and Sons, 2005.
www.nt.ntnu.no/users/skoge.
7. K. Zhou. Essentials of Robust Control. Prentice Hall, New Jersey, 1998. www.ece.lsu.edu/kemin
Date of update September 3, 2020