Title: Comparison of two-level NMPC and ILC strategies for wet-clutch control
Authors: Dutta, Abhishek ×
Depraetere, Bruno
Ionescu, Clara-Mihaela
Pinte, Greg
Swevers, Jan
De Keyser, Robin #
Issue Date: Jan-2014
Publisher: Pergamon - Elsevier Science LTD
Series Title: Control Engineering Practice vol:22 pages:114-124
Abstract: Modeling and control of clutch engagements has been recognized as a challenging problem, due to nonlinear and time-varying dynamics, switching discontinuously between two phases. Furthermore, the optimal references are not known a priori and vary with operating conditions. To address these issues a two-level control scheme is proposed, consisting of a learning algorithm at the high level, updating parameterized references to be tracked at the low level. To simplify the tracking, the controls for both phases are separated. In a first implementation, two (non)linear model predictive controllers (NMPCs) are used sequentially, while in a second implementation these are replaced by two Iterative Learning Controllers (ILCs). The performance and robustness are investigated on a test setup with wet-clutches, and it is shown that both implementations combined with suitable high level algorithms result in good engagements.
ISSN: 0967-0661
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Production Engineering, Machine Design and Automation (PMA) Section
× corresponding author
# (joint) last author

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