Vehicle Lane Keeping Single Neural Network Control with Driver Behavior State Key Lab of Automobile Dynamic Simulation, Jilin University

Format:

Conference/Event

Author/Creator:

Zhenhai, Gao, author.

Conference Name:

SAE Automotive Dynamics (Stability & Controls Conference and Exhibition, Detroit, Michigan)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2004

Summary:

According to the nonlinear and parameter time-varying characteristics of vehicle lateral dynamics, a novel algorithm of vehicle lateral adaptive PID control with single neuron network was proposed. Based on self-learning and adaptive ability of single neural network, the parameters of vehicle lateral PID controller were self-tuning on-line and the problem of large computation time brought by traditional adaptive PID control was avoided, in which the parameters of reference model of the controlled system must be identified with large calculation burden. The results of the simulation and field experiment show this algorithm can effectively control vehicle to keep and track the pre-given target trajectory, and has good robustness and adaptability for vehicle lateral nonlinear dynamics

Notes:

Vendor supplied data

Publisher Number:

2004-01-2108

Access Restriction:

Restricted for use by site license