Research on acceleration slip regulation based on directly adaptive fuzzy control algorithm

S. Hou, Zhiyuan Li
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Abstract

In view of vehicle's nonlinear characteristics and the insufficient adaptive ability of conventional fuzzy control, a directly adaptive fuzzy control algorithm is applied in Acceleration Slip Regulation (ASR). The principle of directly adaptive fuzzy control algorithm for ASR is analyzed, the initial value of the fuzzy based vector is given by the conventional fuzzy control, and the adaptive law of fuzzy parameters is also determined by Lyapunov function. Based on 7 DOF vehicle dynamics model, the simulation experiment of typical working condition in ASR has been done. Results show that, compared with the conventional fuzzy control, adaptive fuzzy controller is more smooth, fast and robustness.
基于直接自适应模糊控制算法的加速度滑移调节研究
针对汽车的非线性特性和传统模糊控制的自适应能力不足,提出了一种直接自适应模糊控制算法。分析了ASR直接自适应模糊控制算法的原理,利用传统模糊控制方法给出了基于模糊向量的初始值,并利用Lyapunov函数确定了模糊参数的自适应规律。在整车7自由度动力学模型的基础上,进行了ASR典型工况的仿真实验。结果表明,与传统的模糊控制相比,自适应模糊控制器具有平滑、快速和鲁棒性强的特点。
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