Direct data‐driven control of linear time‐delay systems |
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Authors: | S. Formentin M. Corno S. M. Savaresi L. Del Re |
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Affiliation: | 1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Piazza L. Da Vinci, 32, 20133 Milano, Italy;2. Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands;3. Institute for Design and Control of Mechatronical Systems, Johannes Kepler University of Linz, Altenberger Stra?e, 69, A‐4040 Linz, Austria |
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Abstract: | This paper presents an extension of the Virtual Reference Feedback Tuning (VRFT) methodology dedicated to linear time‐delay systems with known delay and unknown dynamics. The standard VRFT is not well suited for systems with dominant time‐delay as it yields high order controllers. The proposed direct approach, relying on a Smith Predictor structure, guarantees the same level of performance as the standard VRFT but with lower order controllers. The joint direct data‐driven design of the controller and the predictor is facilitated by the introduction of an ad‐hoc optimization initialization. Effectiveness and robustness to uncertainty in the time‐delay estimation are shown in a vehicle dynamics control problem. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society |
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Keywords: | Direct control VRFT Smith Predictor nonlinear optimization |
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