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A fuzzy predictive redundancy system for fault-tolerance of x-by-wire systems

机译:用于x-wire-wire系统的容错的模糊预测冗余系统

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Safety issues and the dependence of numerous systems on electronics are rapidly increasing the concern over fault-tolerance. As an example, an intelligent vehicle with electronically controlled x-by-wire systems composed of dynamically configurable electronic elements instead of rigid mechanical components must be fault tolerant because a devastating failure could occur without warning. In particular, a safety-related malfunction of the brakes, throttle, or steering system could lead to serious injury or death and damage the manufacturer's reputation. If there is a warning it may not be as devastating as one could prevent it or mitigate it. Therefore, fault-tolerance is the primary focus of x-by-wire systems development. To address this concern, this paper presents a fuzzy predictive redundancy system that can remove most erroneous faults with a fault-detection algorithm. This paper also introduces a prototype of the system using an embedded microcontroller unit to show that it outperforms well-known average and median voters. The experimental results show that fuzzy predictive redundancy can be an appropriate choice for fault-tolerance in the x-by-wire systems such as steer-by-wire system or brake-by-wire system of intelligent vehicle.
机译:安全问题以及众多系统对电子设备的依赖性迅速增加了对容错的关注。例如,具有由动态可配置电子元件而不是刚性机械组件组成的电控线控系统的智能车辆必须具有容错能力,因为可能会在没有预警的情况下发生毁灭性故障。尤其是制动器,节气门或转向系统的安全相关故障可能导致严重的人身伤害甚至死亡,并损害制造商的声誉。如果有警告,那么警告可能不会像阻止或减轻警告那样具有破坏性。因此,容错是x-by-wire系统开发的主要重点。为了解决这个问题,本文提出了一种模糊预测冗余系统,该系统可以使用故障检测算法消除大多数错误故障。本文还介绍了使用嵌入式微控制器单元的系统原型,以显示其性能优于知名的平均投票者和中位数投票者。实验结果表明,模糊预测冗余可以作为线控x线控系统(如智能车的线控转向系统或线控制动系统)的容错的合适选择。

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