Abstract
The Model Reference Adaptive System (MRAS) is probably the most widely applied speed sensor less drive control scheme. This paper proposes induction motor speed estimation using conventional MRAS and AIbased MRAS with stator resistance compensation. A conventional mathematical model based MRAS speed estimation scheme can give a relatively precise speed estimation result, but errors will occur during low frequency operation. Furthermore, it is also very sensitive to machine parameter variations. However, an AIbased MRAS system with a Stator Resistance Compensation model can improve the speed estimation accuracy and is relatively robust to parameter variations even at an extremely low frequency. These are verified by simulation results.
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