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首页> 外文期刊>International Journal of Vehicle Design >An adaptive fuzzy control to antilock non-straight line braking using three dimensional (finite element) vehicle model
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An adaptive fuzzy control to antilock non-straight line braking using three dimensional (finite element) vehicle model

机译:基于三维(有限元)车辆模型的防抱死直线制动自适应模糊控制

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摘要

The objective in this paper is to design a stable and robust adaptive fuzzy logic controller (AFLC) to antilock braking by the consideration of the total range of tyre-road friction. A favourable property of the fuzzy logic controllers (FLC) is that the state equations of the controlled system (plant) are not directly required, nothing but the selected input output signals (variables). Consequently, it is possible to apply well-elaborated and accurate finite element or multibody vehicle models with large number of degrees of freedom to the simulation of controlled vehicle motions. In this paper, a truck finite element model of 2148 degrees of freedom (DOF) is applied as the controlled plant. The braking moments acting on the wheels are controlled with (four) fuzzy controllers in the function of the current slips and change of slips (time rate of slips). Numerical examples, by the consideration of variable road friction, demonstrate the excellent performance of the developed AFLC.
机译:本文的目的是设计一种稳定且鲁棒的自适应模糊逻辑控制器(AFLC),以考虑轮胎路面摩擦的总范围来进行防抱死制动。模糊逻辑控制器(FLC)的一个有利特性是,不需要直接要求受控系统(工厂)的状态方程,只需要选择的输入输出信号(变量)即可。因此,有可能将精心设计且精确的具有大量自由度的有限元或多体车辆模型应用于受控车辆运动的模拟。在本文中,将2148自由度(DOF)的卡车有限元模型用作受控工厂。作用在车轮上的制动力矩由(四个)模糊控制器根据当前打滑和打滑变化(打滑时间率)进行控制。数值示例,通过考虑可变的道路摩擦,证明了开发的AFLC的出色性能。

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