Longitudinal wheel slip regulation using nonlinear autoregressive-moving average (NARMA-L2) neural controller

• Main Authors: Dajay, Ryan Christoper R., Española, Jason L., Bandala, Argel A., Bedruz, Rhen Anjerome R., Vicerra, Ryan Rhay P., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Neural networks (Computer science); Tires—Traction; Electrical and Electronics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/399; https://animorepository.dlsu.edu.ph/context/faculty_research/article/1398/type/native/viewcontent
• Institution: De La Salle University

In this study, the implementation of a nonlinear autoregressive-moving average model ( NARMA-L2) neural network controller to maximize the traction of tires during braking scenarios was explored. The proposed controller and system dynamics was done in Simulink. All in all, the neural network control...