Abstract
For the optimal slip ratio, this paper adopted intelligent control technology to realize automobile Anti-lock control system. First, the two dimensional fuzzy Anti-lock Braking System(ABS) controller was designed, followed by design of the fuzzy neural network ABS controller. Finally the genetic algorithm was adopted to optimize the weights and thresholds of fuzzy neural network. Simulation results show a good anti-lock braking effect can be obtained by adopting the compound intelligent control technology.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Kang, W., Sun, R., Dong, X., Xu, Y. (2012). Development on Intelligent Controller of Automobile ABS Based on the Slip Ratio. In: Luo, J. (eds) Affective Computing and Intelligent Interaction. Advances in Intelligent and Soft Computing, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27866-2_43
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DOI: https://doi.org/10.1007/978-3-642-27866-2_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27865-5
Online ISBN: 978-3-642-27866-2
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