Zhang Hongtian

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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(More)
The body sideslip angle (BSA) is the most important parameter to describe vehicle stability performance. By now, no sensor could measure BSA directly in mass production vehicles. The paper explains how to directly measure BSA by application of GPS attitude determination technology. The vehicle stability controller is designed based on sliding mode control(More)
According to the nonlinear and parameter time-varying characteristics of vehicle stability control, a sliding control algorithm is proposed based on radial base function (RBF) neural network. The algorithm not only can reduce the chattering caused by the conventional sliding mode, but also improve the robust of the adaptive neural network control. The(More)
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