摘要

After analyzing the characteristics of driver movement control behavior, a humanoid cerebellum neural network control model for driver';s directional control behavior is established with cerebellar model articulation controller to conduct the control error correction on conventional differential correction model. The results of simulation under different vehicle speed, road geometry and adhesion coefficients show that the control algorithm proposed has high path tracking accuracy as well as the adaptability and robustness to the dynamic uncertainty factors in vehicle speed and road conditions.

  • 出版日期2012

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