The present paper validates the working of a new model reference adaptive system (MRAS) based sensorless speed control strategy for induction motor (IM) drive in general, using a Golden section (GS) based energy optimization method for low and medium speed range operation. The MRAS is formed using instantaneous and steady‐state values of a fictitious resistive quantity (R) that does not carry any physical significance. The said formulation is free from flux computation and independent on stator/rotor resistance variation. Moreover, the sensorless formulation does not involve any integration/differentiation operator. This makes the scheme immune to the drift, saturation and noise related problems enabling accurate estimation of speed even at zero and low‐speeds. This sensorless scheme is further unified with an elementary energy optimization strategy. The overall scheme is observed to work even more efficiently at low load torque without hindering the speed response. Moreover, the performance of the proposed scheme is compared with Q‐MRAS estimator. All the relevant studies, in this context, are done in Matlab/Simulink. The overall scheme has also been verified experimentally using a 3 HP IM drive setup.

中文翻译：

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开发无速度传感器感应电动机驱动的节能方案

本文验证了基于新模型参考自适应系统（MRAS）的感应电动机（IM）驱动的无传感器速度控制策略的总体工作，并使用基于黄金分割（GS）的中低速范围能量优化方法。MRAS由虚拟电阻值的瞬时和稳态值（R），没有任何物理意义。所述公式无需磁通量计算，并且与定子/转子电阻的变化无关。此外，无传感器的配方不涉及任何积分/分化算子。这使得该方案不受漂移，饱和度和噪声相关问题的影响，即使在零速和低速情况下也可以准确估算速度。该无传感器方案与基本能量优化策略进一步统一。观察到整个方案在低负载转矩下甚至可以更有效地工作，而不会影响速度响应。此外，将所提方案的性能与Q-MRAS估计器进行了比较。在这种情况下，所有相关研究都是在Matlab / Simulink中完成的。整个方案也已使用3 HP IM驱动器设置进行了实验验证。