307 | Commande prédictive | Physical engineering and embedded systems | S8 | ||||||
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Lessons : 12 h | TD : 9 h | TP : 15 h | Project : 0 h | Total : 36 h | |||||
Co-ordinator : Olivier Gehan |
Prerequisite | |
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Continuous time control Discrete time Control Signal processing |
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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 |
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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 |
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Bibliography | |
Adaptive optimal Control, the thinking's man GPC, R. Bitmead, M. Gevers, V. Wertz, Prentice Hall, 1990 |
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