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UE Multi-objective control

  • Level

    Baccalaureate +5

  • ECTS

    6 credits

  • Component

    UFR PhITEM (physique, ingénierie, terre, environnement, mécanique)

  • Semester

    Automne

Description

 Optimization and Optimal Control (21 h + 15 h labs)

 

System and Performance 

 

Problem formulation; state variables representation; state transition matrix; physical constraints; the optimal control problem.

The Performance Measure 

 

Performance for optimal control; selecting a performance measure; performance measure for modeling.

Dynamic Programming 

 

Optimal control law; principle of optimality; decision making; recurrence relation for DP; characteristics of DP solutions; discrete linear regulators; the Hamilton-Jacobi-Bellman equation; continuous linear regulators.

Calculus of Variations 

 

Fundamental concepts; problems with fixed/free final time/states; functionals involving several independant variables.

The Variational Approach to Optimal Control Problems 

 

Necessary conditions for optimal control; boundary conditions; linear regulator problems; Pontryagin's minimum principle and state inequality constraints. 

Observers and State Estimation 

 

State observation; continuous-time optimal filters (Kalman/Bucy, extended); discrete-time estimation. 

LQG Control 

 

Traditional LQG and LQR problems; LQG controller architecture; robustness properties. 

Optimization with Scilab 

 

Optimization and solving nonlinear equations; general optimization; solving nonlinear equations; nonlinear least squares; parameter fitting; linear and quadratic programming; differentiation utilities. 

Applications 

 

A stochastic gradient descent approach to feedback design for network controlled systems; a constrained variational approach using the augmented Lagrangian for optimal diffusivity identification in firns; parametric optimization of a diesel engine model and comparison between numerical methods (trust region, Levenberg-Marquardt, interior point and active sets) and norms. 

Lab 1

Optimal particle source identification in Tore Supra tokamak

Lab 2

Optimal flow control (see the UJF experiment )

Multivariable robust control (20 h + 16 h labs)

Lesson 

Topic 

Motivation

 

Industrial examples. 

H&infin norm, stability

 

 

Performance analysis/specifications

 

Performances quantifiers, A first robustness criteria 

H&infin control design

 

Mixed sensitivity problem 

Uncertainties and robustness

 

Representing uncertainties, Robust stability, Robust performance, Robust control design. 

Performances limitations

 

Bode and Poisson sensitivity integral. 

Lab 

Robust analysis and control of a flexible transmission system.

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Course parts

  • UE Multi-objective control - CMLectures (CM)41h
  • UE Multi-objective control - TPPractical work (TP)31h

Period

Semester 9

Bibliography

Optimization and Optimal Control

Class textbook:

  • D. Kirk, "Optimal Control Theory: An Introduction", Prentice-Hall Electrical engineering series, 1970 (original edition), Dover, 2004 (reprint).

Additional readings:

  • R. Boudarel, J. Delmas and P. Guichet, "Commande Optimale des Processus", Dunod, 1967.
  • S. Campbell, J-P. Chancelier and R. Nikoukhah, "Modeling and Simulation in Scilab/Scicos", Springer, 2005.
  • U. Jonsson, C. Trygger and P. Ogren, "Optimization and System Theory", Lecture notes, KTH, Sweden 2008.
  • J. Mikles and M. Fikar, "Process Modelling, Identification, and Control", Springer, 2007.

Multivariable robust control

  • S. Skogestad and I. Postlethwaite, Multivariable Feedback Control: Analysis and Design, 2nd Ed., Wiley, 2007.
  • K. Zhou, Essentials of Robust Control, Prentice Hall, New Jersey, 1998. 
  • J.C. Doyle, B.A. Francis, and A.R. Tannenbaum, Feedback control theory, Macmillan Publishing Company, New York, 1992.
  • G.C. Goodwin, S.F. Graebe, and M.E. Salgado, Control System DesignPrentice Hall, New Jersey, 2001.
  • G. Duc et S. Font, Commande Hinf et analyse: des outils pour la robustesse, Hermès, France, 1999.
  • D. Alazard, C. Cumer, P. Apkarian, M. Gauvrit, et G. Ferreres, Robustesse et commande optimale, Cépadues Editions, 1999.
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