Title: Comparison of model predictive control techniques for active suspension
Authors: Montanez, German
Patino, Diego
Mendez, Diego
Citation: 2015 International Conference on Applied Electronics: Pilsen, 8th – 9th September 2015, Czech Republic, p.157-160.
Issue Date: 2015
Publisher: Západočeská univerzita v Plzni
Document type: konferenční příspěvek
URI: http://hdl.handle.net/11025/35112
ISBN: 978-80-261-0385-1 (Print)
978-80-261-0386-8 (Online)
ISSN: 1803-7232 (Print)
1805-9597 (Online)
Keywords: prediktivní kontrola;sespenze;optimalizace;interpolace;matematický model;výpočetní modelování
Keywords in different language: predictive control;suspensions;optimization;interpolation;mathematical model;computational modeling
Abstract in different language: This paper presents the develop and analysis of four control techniques implemented in an embedded system for an active suspension. The three techniques are based on model predictive control (MPC): The MPC off-line interpolation by piecewise affine systems (PWA), MPC neural network interpolation (NN), generalized model predictive control on-line (GMPC) and state space feedback (SSF). Finally, it is possible to reduce the necessary time to compute the control law with interpolating methods.
Rights: © University of West Bohemia
Appears in Collections:Applied Electronics 2015
Applied Electronics 2015

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