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This paper is concerned by the use of neural networks and for controlling a non-linear process namely MRAS based speed estimator of induction machine (IM). In the first case study, principals of a conventional rotor flux based MRAS (RF-MRAS) speed estimator will be designed. In the second case study, the design procedure uses a neural model trained with the inverse model of the process. Thus, the...
Accuracy and stability of speed estimation and control in a wide range of speed in several conditions especially in braking-mode is necessary for some applications such as traction electrical motors control. In this paper, MRAS-based speed estimation is concerned as a sensorless speed estimation technique for an induction machine controlled by field-oriented control (FOC) algorithm. Since MRAS speed...
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