Design of Vehicle Stability Controller Based on Fuzzy Radial Basis Neural Network Sliding Mode Theory with Sideslip Angle Estimation

Design of Vehicle Stability Controller Based on Fuzzy Radial Basis Neural Network Sliding Mode Theory with Sideslip Angle Estimation

This study is targeted at the key state parameters of vehicle stability controllers, the controlled vehicle model, and the nonlinearity and uncertainty of external disturbance. An adaptive double-layer unscented Kalman filter (ADUKF) is used to compute the sideslip angle, and a vehicle stability con...

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Bibliographic Details
Main Authors: Zhenzhao Zhang, Liang Chu, Jiaxu Zhang, Chong Guo, Jing Li
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
vehicle stability control
sideslip angle estimation
adaptive double-layer unscented Kalman filter
sliding mode control
adaptive fuzzy radial basis function neural network
Online Access:https://www.mdpi.com/2076-3417/11/3/1231

Internet

https://www.mdpi.com/2076-3417/11/3/1231

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