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A sensorless stator flux oriented vector controlled induction motor drive with neuro-fuzzy based performance enhancement

机译:无传感器定子磁通导向矢量控制的感应电动机驱动,具有神经模糊的基于性能增强

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A high-performance stator flux oriented speed sensorless direct vector-controlled induction motor drive is described in the paper. The drive can start from stand-still, operate at any speed in all the quadrants including the field-weakening region, and then stop at zero speed. The drive incorporated the following novel features: (1) software-programmable cascaded low-pass filter units permit machine terminal voltage integration to synthesize the precision stator flux vector at any frequency; (2) zero-speed stand-still start-up of the drive using machine current model equations without speed sensor, and then transitioning to direct vector control (and vice versa); (3) light load steady state efficiency improvement by on-line search of flux that is based on neuro-fuzzy control; and (4) stator resistance estimation during operating condition by quasi-fuzzy technique for compensation. The drive with the proposed control and estimation techniques has been extensively analyzed, investigated by simulation study, and then finally implemented by distributed DSP system on an experimental laboratory drive. The drive is primarily intended for an electric vehicle type drive, but can be extended for an industrial drive.
机译:纸张中文描述了一种高性能定子磁通导向速度无传感器直接矢量控制的感应电动机驱动。驱动器可以从静止 - 静止,在包括场弱区域的所有象限中以任何速度操作,然后停止以零速度。该驱动器采用以下新颖特征:(1)软件可编程级联低通滤波器单元允许机器端电压集成,以在任何频率下合成精密定子通量载体; (2)使用无速度传感器的机器电流模型方程零速静止驱动器启动,然后过渡到直接向量控制(反之亦然); (3)光负荷稳态效率通过基于神经模糊控制的通量在线搜索效率提高;并通过准模糊技术进行补偿过程中的定子电阻估计。通过仿真研究研究了具有所提出的控制和估计技术的驱动,并通过模拟研究进行了研究,然后通过在实验实验室驱动器上通过分布式DSP系统实现。驱动器主要用于电动车辆类型驱动器,但可以延长工业驱动器。

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