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Research on Sensorless control strategies for Vehicle stability using Fuzzy based EDC

机译:基于模糊EDC的车辆稳定性无传感器控制策略研究

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This paper presents an efficient and robust control scheme of Fuzzy Logic Electronic Differential Controller (FLEDC) for sensorless drive based electric vehicle. The proposed system consists of two Brushless DC motors (BLDC) that ensure the drive of the two back driving wheels of an electric vehicle. Electronic differential controller (EDC) ensures the maximum torque and it can control both the driving wheel independently to turn at different speeds in any curve according to the steering angle. The sensorless control strategies include back EMF zero crossing detection and third harmonic voltage integration. Fuzzy logic based EDC is used on these sensorless control strategies which optimizes the slip rate within the specified limit and thus enhances the vehicle stability The performances in terms of slip rate, current, Torque, back EMF are obtained by the proposed method and are compared with those obtained using conventional control method. By this comparative investigation, a suitable control strategy has been identified. The effectiveness and substantiation of these analysis are ascertained in the MATLAB/Simulink environment and also experimentally validated.
机译:本文提出了一种基于无传感器驱动的电动汽车模糊逻辑电子差分控制器(FLEDC)的高效鲁棒控制方案。提议的系统由两个无刷直流电动机(BLDC)组成,可确保驱动电动汽车的两个后驱动轮。电子差速控制器(EDC)确保最大扭矩,并且可以根据转向角独立控制两个驱动轮以任何曲线的不同速度旋转。无传感器控制策略包括反电动势过零检测和三次谐波电压积分。这些无传感器控制策略使用基于模糊逻辑的EDC,可在指定极限内优化滑移率,从而提高车辆稳定性。通过所提出的方法获得了滑移率,电流,扭矩,反电动势方面的性能,并与使用常规控制方法获得的结果。通过比较研究,确定了合适的控制策略。在MATLAB / Simulink环境中确定了这些分析的有效性和依据,并进行了实验验证。

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