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首页> 外文期刊>Transactions of the Institute of Measurement and Control >New fault-tolerant control architectures based on voting algorithms for electric vehicle induction motor drive
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New fault-tolerant control architectures based on voting algorithms for electric vehicle induction motor drive

机译:基于投票算法的电动汽车感应电动机驱动新型容错控制架构

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In this paper, we present a comparative study of four voting algorithms in two observer-based fault-tolerant control (FTC) architectures for an electric vehicle (EV) induction motor drive. The first architecture, called output FTC, is based on the mechanical sensor, an EKF and a second-order sliding mode observer (SMO2). The second one, input FTC, is based on three controllers (PI, H loop shaping and the generalized internal model control), the most appropriate being selected to ensure good behaviour in presence of a multiplicative sensor fault (the fault is modelled as an exponential type emulating a bias). A third architecture, called hybrid FTC, based on the previous output and input fault-tolerant schemes, is built to mitigate simultaneous faults. Simulation and experimental results for a 7.5-kW induction motor drive show the efficiency of the approaches and their robustness against parametric variations for different load conditions.
机译:在本文中,我们对两种基于观察者的电动汽车(EV)感应电动机驱动器的容错控制(FTC)架构中的四种投票算法进行了比较研究。第一种架构称为输出FTC,它基于机械传感器,EKF和二阶滑模观察器(SMO2)。第二个是输入FTC,它基于三个控制器(PI,H回路整形和广义内部模型控制),最合适的选择是为了确保在存在乘法传感器故障的情况下表现良好(故障被建模为指数型)类型模拟偏差)。基于先前的输出和输入容错方案,构建了称为混合FTC的第三种体系结构,以减轻同时发生的故障。 7.5 kW感应电动机驱动器的仿真和实验结果表明,该方法的效率及其针对不同负载条件下的参数变化的鲁棒性。

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