The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 52-448
Full Name: Jianwei Wei
Position: Student
Age: ON
Sex: Male
Address: 29 Yudao St.,Nanjing 210016,China
Country: CHINA
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E-mail address: weijianwei@nuaa.edu.cn
Other E-mails: jianwei_021308Qyahoo.com.cn
Title of the Paper: Study on soft computing arithmetic for vehicle yaw rate based on ANFIS
Authors as they appear in the Paper: Wianwei Wei, minxiang Wei, Wanzhong Zhao
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Number of paper pages: 10
Abstract: A soft computing arithmetic based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is proposed to estimate vehicle yaw rate in a driver-vehicle closed loop system, which consists of an Electric Power Steering (EPS) system model, a three-degree-of-freedom (3DOF) time-varying vehicle model and a driver model. In this article, vehicle yaw rate is considered as a nonlinear mapping of time series of rack displacement and lateral acceleration, and the algorithm is tied in the transfer characteristic of steering operation in EPS system, the effect of load transfer, as well as the effect of the interaction between driver and vehicle. Simulation study on soft computing of vehicle yaw rate in the driver-vehicle closed loop system has been conducted here by MATLAB. The performance of the soft computing arithmetic based on ANFIS is evaluated under double lane change maneuvers using an actual vehicle. The results indicate that the generalization of the soft computing arithmetic!
based on ANFIS is better than that based on Radial Basis Function (RBF) neural network. And the soft computing arithmetic based on ANFIS can accurately estimate vehicle yaw rate.
Keywords: Vehicle yaw rate; EPS (Electric Power Steering); soft computing arithmetic; ANFIS (Adaptive Neuro-Fuzzy Inference System); driver-vehicle closed loop system
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