Data Acquisition Model for Road Profiling and Its Statistical Validation

Eligar, Sanjay; Banakar, R. M.

doi:10.1109/iceeccot43722.2018.9001520

Cited by 2 publications

(1 citation statement)

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“…On the other hand, the range of displacement values generated by the excitation force corresponds to the observations made with an Arduino-based data acquisition system applied in a vehicle dynamics context [27]. This system was utilized to assess the responses to diverse track profiles.…”

Section: Resultsmentioning

confidence: 99%

Design and Implementation of an Embedded Data Acquisition System for Vehicle Vertical Dynamics Analysis

Venceslau de Souto,

Barbosa da Rocha,

Duarte

et al. 2023

Sensors

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With the expansion of electronics in recent decades, it is notorious to observe that embedded systems are increasingly necessary to improve people’s quality of life and to facilitate the diagnosis of systems in general, ranging from pacemakers to control systems. The increased use of electronic components for technological support, such as telemetry systems, electronic injection, and automotive diagnostic scanners, enhances the perspective of data analysis through an embedded system aimed at vehicular systems. Thus, this work aims to design and implement an embedded data acquisition system for the analysis of vehicle vertical dynamics. The methodology for this study was structured into several stages: mathematical modeling of a motorcycle’s mass-spring-damper system, coding for the Arduino microcontroller, computational data analysis supported by MATLAB software version 9.6, electronic prototyping of the embedded system, implementation on the vehicle, and the analysis of motorcycle vertical dynamics parameters. In addition, a mathematical modeling of the mass-spring-damper system was performed using the state-space method. The system was implemented on the Arduino microcontroller platform, enabling real-time data transfer from a motorcycle. The experimental results have successfully validated the proposed data acquisition system.

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Section: Resultsmentioning

confidence: 99%