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Experimenting Sensors Network for Innovative Optimal Control of Car Suspensions

Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy
Authors to whom correspondence should be addressed.
Sensors 2019, 19(14), 3062;
Received: 11 June 2019 / Revised: 2 July 2019 / Accepted: 4 July 2019 / Published: 11 July 2019
(This article belongs to the Section Sensor Networks)
PDF [9572 KB, uploaded 17 July 2019]


This paper presents an innovative electronically controlled suspension system installed on a real car and used as a test bench. The proposed setup relies on a sensor network that acquires a large real-time dataset collecting the car vibrations and the car trim and, through a new controller based on a recently proposed theory developed by the authors, makes use of adjustable semi-active magneto-rheological dampers. A BMW series 1 is equipped with such an integrated sensors-controller-actuators device and an extensive test campaign, in real driving conditions, is carried out to evaluate its performance. Thanks to its strategy, the new plant enhances, at once, both comfort and drivability of the car, as field experiments show. A benchmark analysis is performed, comparing the performance of the new control system with the ones of traditional semi-active suspensions, such as skyhook devices: the comparison shows very good results for the proposed solution. View Full-Text
Keywords: semi-active suspension; control; sensors network; car vibration semi-active suspension; control; sensors network; car vibration

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Pepe, G.; Roveri, N.; Carcaterra, A. Experimenting Sensors Network for Innovative Optimal Control of Car Suspensions. Sensors 2019, 19, 3062.

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