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首页> 外文期刊>Journal of electrical and computer engineering >Design of Robust Adaptive Observer against Measurement Noise for Sensorless Vector Control of Induction Motor Drives
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Design of Robust Adaptive Observer against Measurement Noise for Sensorless Vector Control of Induction Motor Drives

机译：感应电动机驱动无传感器矢量控制测量噪声鲁棒自适应观测器的设计

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摘要

Position control in electrical drives is a challenging problem which is complicated by sensor noise and unknown disturbances. This paper proposes a new cascade sensorless speed control technique for induction motor drives suitable for electric vehicle applications using the full-order adaptive Luenberger observer that is insensitive to measurement noise and parametric variation. The adaptive speed law is obtained by the Lyapunov method using the estimated currents and fluxes. This technique ensures the stability of the induction motor considered as nonlinear dynamic system. Since the Luenberger observer works on deterministic environment, and it is most effective when sensor noise is limited, the present study aims to design a robust observer insensitive to measurement noise and parametric variation integrated in a cascade structure. The observer allows the filtering of the measured currents. To highlight the advantages of the new scheme, a comparative study and spectrum analysis will be presented. The proposed structure is verified using MATLAB/Simulink.
机译：电动驱动器中的位置控制是一种具有挑战性的问题，这些问题是传感器噪声和未知干扰的复杂性。本文提出了一种新的级联无传感器驱动器，适用于使用全阶自适应Luenberger观察者对电动车辆应用的电动汽车应用不敏感的测量噪声和参数变化。使用估计的电流和助熔剂，通过Lyapunov方法获得自适应速度法。该技术确保了感应电动机被认为是非线性动态系统的稳定性。由于Luenberger观察者在确定性环境上工作，并且当传感器噪声有限时最有效，本研究旨在设计一种对级联结构中的测量噪声和参数变化不敏感的鲁棒观测器。观察者允许过滤测量的电流。为了突出新方案的优势，将提出比较研究和频谱分析。使用MATLAB / SIMULINK验证所提出的结构。

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