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

• المؤلفون الرئيسيون: Dajay, Ryan Christoper R., Española, Jason L., Bandala, Argel A., Bedruz, Rhen Anjerome R., Vicerra, Ryan Rhay P., Dadios, Elmer P.
• التنسيق: text
• منشور في: Animo Repository 2019
• الموضوعات: Neural networks (Computer science); Tires—Traction; Electrical and Electronics
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/faculty_research/399; https://animorepository.dlsu.edu.ph/context/faculty_research/article/1398/type/native/viewcontent
• المؤسسة: 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...