Real-time detection of resonant frequency in semi-active suspension systems

Acocella, Gerardo; Liguori, Consolatina; Paciello, Vincenzo; Paolillo, Alfredo

doi:10.1109/imtc.2011.5944134

Cited by 5 publications

(1 citation statement)

References 12 publications

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“…Moreover, the vibrations due to the engine rotation can alter the measured index value. Some solutions may be exploited in order to define the best band-pass filter, since the frequencies of interest are very low [27][28] [29]: a seven degree Butterworth filter may be typically adopted. According to the proposed testing methodology, three indices are introduced in order to measure the comfort performance of a suspension system: (i) The power spectrum of the accelerometers S handle and S seat are evaluated and the integral between 0 and 30 Hz are calculated, I handle an I seat , respectively.…”

Section: Sensor Data Processingmentioning

confidence: 99%

ISO/IEC/IEEE 21451 Smart Sensor Network for the Evaluation of Motorcycle Suspension Systems

et al. 2015

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Smart sensors and transducers are being widely employed in the development of electronically controlled systems such as advanced suspensions in order to improve the performance guaranteed by terrestrial vehicles. Nevertheless, a standard reference for the full exploitation of the smart features is not yet extensively adopted. The CAN-bus is only used for the communication functionalities within a sensor network, resulting in cost-effective and more reliable connections. An original data driven approach, based on both the CAN-bus and the IEEE ISO/IEC/IEEE 21451 Standard, is proposed for the characterization of suspension systems of two-wheel vehicles with regard to the comfort and vehicle handling. Thanks to the ISO/IEC/IEEE 21451, the data acquired from sensor are sent by means of a GPS-GPRS module to PC software that implements the processing algorithm. The proposed methodology includes a low cost measurement set-up, data processing algorithms in both time and frequency domain and the introduction of model-free synthetic indexes in order to experimentally compare the on-road behavior influenced by different damping characteristics for the suspension system. The method is applied to the on-road verification of the riding comfort assured by different control strategies for semi-active suspensions.

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Section: Sensor Data Processingmentioning

confidence: 99%