The neural compensator for advance vehicle controller

A. Rodic, D. Katić, M. Vukobratovic
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Abstract

In this paper, a new concept of the advanced integrated vehicle controller with a 4-wheel control system (ADIVEC-4WCS), to provide an automatic system guidance, is presented. The supplementary neuro-compensator is proposed to ensure a control system robustness and better controller adaptability upon the system uncertainties and model inaccuracies. This neural compensator is a part of integrated active control algorithm based on the centralized dynamic control strategy and full vehicle model. The fast convergence of learning process is achieved using standard back propagation method. The validity and effectiveness of the proposed method based on adaptive capability of neural compensator for a four wheel steering system have been demonstrated by simulation experiments.
超前车辆控制器的神经补偿器
本文提出了一种具有四轮控制系统的先进集成车辆控制器(ADIVEC-4WCS)的新概念,以提供自动系统引导。为了保证控制系统的鲁棒性和控制器对系统不确定性和模型不准确性的适应性,提出了补充神经补偿器。该神经补偿器是基于集中动态控制策略和整车模型的综合主动控制算法的一部分。采用标准的反向传播方法实现了学习过程的快速收敛。仿真实验验证了基于神经补偿器自适应能力的四轮转向控制方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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