Abstract
The suspension system together with the chassis of the car play an important role in the performance of a race car. The knowledge of the forces that are transmitted through the car’s suspension system allows a better adjustment and optimization of various structural components. In this study, an identification method, with a neural network based methodology, was tested using experimental data in order to identify and quantify the horizontal and vertical forces in the wheel hub, which are transmitted to the triangle of the suspension and to the chassis of the car. The obtained results are promising and show that it is possible to use this methodology for real-time monitoring of horizontal and vertical forces acting on the triangle suspension of the formula student car.
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© 2013 Springer Science+Business Media Dordrecht
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Roseiro, L., Alcobia, C., Ferreira, P., Baïri, A., Laraqi, N., Alilat, N. (2013). Identification of the Forces in the Suspension System of a Race Car Using Artificial Neural Networks. In: Madureira, A., Reis, C., Marques, V. (eds) Computational Intelligence and Decision Making. Intelligent Systems, Control and Automation: Science and Engineering, vol 61. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4722-7_44
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DOI: https://doi.org/10.1007/978-94-007-4722-7_44
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