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首页> 外文期刊>Electric Power Components and Systems >A New Fuzzy Rule Based Transition Algorithm Between Flux Models for Speed Sensorless Vector Controlled Induction Motor Drives at Low Speed Region
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A New Fuzzy Rule Based Transition Algorithm Between Flux Models for Speed Sensorless Vector Controlled Induction Motor Drives at Low Speed Region

机译：无速度传感器矢量控制感应电动机低速区域磁通模型之间基于模糊规则的过渡算法

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摘要

This article proposes a fuzzy logic based smooth transition method between flux models for a stator flux oriented induction motor drive. The major task of the fuzzy logic based transition algorithm is to eliminate torque jerk during the transition between the flux estimation models. Since the voltage model cannot be used at low speed operations, and the current model needs speed sensor, two flux models are used together for flux estimation. The drive using the current model and the voltage model together can be smoothly started up by using fuzzy rule based transition algorithm. Proposed algorithm was simulated by MATLAB/SIMULJNK and simulation results were verified by experimental ones, obtained via 32-bit DS1102 controller board based drive setup. Fuzzy logic transition based vector controlled induction motor was operated at transition speed region and motor was stable. Without using any other mathematical models, the performance of the transition algorithm is found satisfactory.
机译：本文提出了一种基于模糊逻辑的定子磁感应电机驱动器磁链模型之间的平滑过渡方法。基于模糊逻辑的过渡算法的主要任务是消除磁通估算模型之间过渡期间的转矩波动。由于电压模型不能用于低速运行，而电流模型需要速度传感器，因此两个磁通模型一起用于磁通估算。通过使用基于模糊规则的过渡算法，可以同时启动同时使用电流模型和电压模型的驱动。通过MATLAB / SIMULJNK对提出的算法进行了仿真，并通过基于32位DS1102控制器板的驱动器设置获得的实验结果验证了仿真结果。基于模糊逻辑过渡的矢量控制感应电动机在过渡速度区域运行，电动机稳定。在不使用任何其他数学模型的情况下，发现过渡算法的性能令人满意。

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