首页> 外文期刊>International Journal of Electric and Hybrid Vehicles >Fuzzy logic field-oriented control of an induction motor and a permanent magnet synchronous motor for hybrid/electric vehicle traction applications
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Fuzzy logic field-oriented control of an induction motor and a permanent magnet synchronous motor for hybrid/electric vehicle traction applications

机译:用于混合/电动车辆牵引应用的感应电动机和永磁同步电动机的模糊逻辑电磁场控制

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>This paper presents a fuzzy logic field-oriented control scheme capable of controlling a hybrid/electric vehicle using a variety of traction motor topologies. The control scheme uses fuzzy logic controllers created in MATLAB/Simulink to control the vehicle's speed, the motor's current and the motor's flux which can be applied to an induction motor or a permanent magnet synchronous motor. A comparison between the fuzzy logic controllers and their PID counterpart's performance is also given. The fuzzy logic speed controllers provide comparable accelerator pedal and brake pedal angles to a person controlling the vehicle, leading to realistic vehicle dynamics. The simulations show that the fuzzy logic current and flux controllers can be used on any motor topology and power rating. This control scheme can be used during the design process of a hybrid or electric vehicle without the need for re-tuning whenever the motor configuration changes.
机译:>本文介绍了一种模糊逻辑场导向控制方案,其能够使用各种牵引电机拓扑控制混合动力/电动车辆。 控制方案使用Matlab / Simulink中创建的模糊逻辑控制器来控制车辆的速度,电机的电流和电机的通量,可以应用于感应电动机或永磁同步电动机。 还给出了模糊逻辑控制器与其PID对应的性能之间的比较。 模糊逻辑速度控制器为控制车辆的人提供了可比的加速器踏板和制动踏板角度,导致现实的车辆动态。 模拟表明,模糊逻辑电流和通量控制器可用于任何电机拓扑和额定功率。 该控制方案可以在混合动力或电动车辆的设计过程中使用,而无需重新调整电机配置的变化。

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