Induction motors are the most commonly used in the traction industries and electric vehicles, due to their low primary cost, low maintenance costs, and good performance. Speed identification is needed for the induction motor drives. However, using of speed sensors in the induction motor drives is associated with problems such as, extra cost, reduced reliability, added mounting space, etc.. Ther...

The need to accurately estimate the speed of road vehicles is becoming increasingly important for at least two main reasons. First, number cameras installed worldwide has been growing in recent years, as introduction and enforcement appropriate limits are considered one most effective means increase safety. Second, traffic monitoring forecasting networks plays a fundamental role enhance traffic...

Invariable step size based least-mean-square error (ISS-LMS) was considered as a very simple adaptive filtering algorithm and hence it has been widely utilized in many applications, such as adaptive channel estimation. It is well known that the convergence speed of ISS-LMS is fixed by the initial step-size. In the channel estimation scenarios, it is very hard to make tradeoff between convergenc...

wind speed is one of the characteristics of wind energy which its data is extracted from meteorological stations. in this study, the data obtained from the weather station in the city eqlid during a ten-year period has been used. weibull distribution was chosen as the best distribution function using fitting tests and estimation of some statistical parameters. the results showed that the averag...

− The Model Reference Adaptive System (MRAS) is probably the most widely applied speed sensorless drive control scheme. This paper compares induction motor speed estimation using conventional MRAS and AI-based 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...