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Position sensorless direct torque control of Brushless DC motor drives based on sliding mode observer using NSGA-II Algorithm optimization

机译:基于滑模观测器的无刷直流电动机驱动器无位置传感器直接转矩控制,算法优化

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This paper presents a direct torque control technique for Brushless DC motors with non-sinusoidal back electromotive force. Direct torque control has some benefits such as faster torque response and reduced torque ripple for driving the Brushless DC motors. The Sliding mode observer, which is robust to parameter uncertainties, can be used to estimate the back-EMF and generate the torque. It is employed to estimate the non-sinusoidal back-EMF waveform in a Brushless DC motor using only the measurements of the stator currents. A modified version of Non-Dominated Sorting Genetic Algorithm (NSGA-II) is used as an effective optimization tool for regulating the PID controller parameters of speed controller and selection of four gains of sliding mode observer. The relation between PID controller and the sliding mode is also satisfied using NSGA-II. The effectiveness of proposed system has been validated by simulation results.
机译:本文提出了一种具有非正弦反电动势的无刷直流电动机的直接转矩控制技术。直接转矩控制具有一些优势,例如更快的转矩响应和减少的转矩波动,以驱动无刷直流电动机。对参数不确定性具有鲁棒性的滑模观察器可用于估计反电动势并生成扭矩。它仅用于测量定子电流,即可用于估计无刷直流电动机中的非正弦反电动势波形。非支配排序遗传算法(NSGA-II)的改进版本用作调节速度控制器的PID控制器参数和选择滑模观测器的四个增益的有效优化工具。使用NSGA-II也可以满足PID控制器与滑模之间的关系。仿真结果验证了所提系统的有效性。

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