Vehicle stability control based on adaptive PID control with single neuron network

According to the nonlinear and parameter time-varying characteristics of vehicle stability control, a novel algorithm of vehicle stability adaptive PID control with single neuron network was proposed. Based on self-learning and adaptive ability of single neural network, the parameters of vehicle stability 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 show this algorithm can effectively make vehicle keep and track the desired direction, and has good robustness and adaptability for vehicle lateral stability control system.