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Commande prédictive

307 Commande prédictive Physical engineering and embedded systems S8
Lessons : 12 h TD : 9 h TP : 15 h Project : 0 h Total : 36 h
Co-ordinator : Olivier Gehan
Prerequisite
Continuous time control
Discrete time Control
Signal processing
Course Objectives
The aim of this course is to present to the students the basics of the predictive control theory for unconstrained and linear systems. Optimal prediction is first presented. In a second point, the control problem is presented as an optimisation problem both for a one-step predictive control problem and for the general case (GPC). The relations with the usual control design performances are presented through the choice of the design parameters.
Syllabus
introduction
Optimal prediction
One-step predictive control
Generalized predictive control
Practical work (TD or TP)
The different points of the lectures are illustrated through the control of different experimental systems :ball and beam, robot, heating process
Acquired skills
Optimal prediction design
Control design using matlab and implementation of the R S T structure for the LTI systems
Bibliography
Adaptive optimal Control, the thinking's man GPC, R. Bitmead, M. Gevers, V. Wertz, Prentice Hall, 1990

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