A hierarchical estimation scheme of tire-force based on random-walk SCKF for vehicle dynamics control

DOI10.1016/j.jfranklin.2020.10.030zbMath1454.93278OpenAlexW3095803528MaRDI QIDQ2217678

Zhi-xian Fan, Shuo Cheng, Xiu-heng Wu, Liang Li, Xiang Chen, Chen-Feng Li

Publication date: 31 December 2020

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.10.030

zbMATH Keywords

random-walk square-root cubature Kalman filtertire-force estimatorvehicle stability control

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Automated systems (robots, etc.) in control theory (93C85)

Related Items

Maximum likelihood gradient‐based iterative estimation for closed‐loop Hammerstein nonlinear systems

Uses Software

• Simulink
• Carsim

Cites Work

• Nonlinear tire force estimation and road friction identification: Simulation and experiments
• Robust lateral motion control of four-wheel independently actuated electric vehicles with tire force saturation consideration
• Estimation of lateral tire-road forces and sideslip angle for electric vehicles using interacting multiple model filter approach
• Cubature Kalman Filters