Abstract: Based on the total variance analysis on the vehicle steering stability and the neural network control theory, an algorithm of the single neuron adaptive PID control over the vehicle steering stability was proposed.Using the indices of trajectory follow error and steering busyness in evaluation of the steering stability, a quadratic form performance index function for the neuron learning was established and the tuning of the connection weight values of the single neuron controller was realized using the algorithm of gradient descent. With vehicle nonlinear dynamic model of 7 degrees-of-freedom, the simulations under different speeds were made. The results show that this algorithm can control vehicle to follow the pre-given trajectory accurately, and good robustness and adaptability are also shown.

Key words: vehicle engineering, steering stability, single neuron, adaptive PID control