A performance analysis of automotive semi-active suspension control algorithms was realized. Three on/off control strategies were tested in a quarter of vehicle model: hybrid Sky Hook-Ground Hook, hybrid Mix-1-Sensor and Frequency Estimation-Based controller. A commercial Magneto-Rheological damper was modeled by using an Artificial Neural Network approach. The automotive semi-active suspension was implemented in a commercial Controller Area Network system; and the control algorithms were implemented in a micro-controller system with comfort and road holding as main goals. Early results show the feasibility of this application.
|Title of host publication||19th IFAC World Congress IFAC 2014, Proceedings|
|Editors||Edward Boje, Xiaohua Xia|
|Number of pages||6|
|Publication status||Published - 2014|
|Name||IFAC Proceedings Volumes (IFAC-PapersOnline)|
Bibliographical noteFunding Information:
⋆ This work was supported by CONACyT (Bilateral project México-Spain 142183) and Tecnológico de Monterrey (Autotronics Research Chair). Authors thank METALSA for sharing its experimental setup
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering