دانلود رایگان مقاله انگلیسی برآورد پارامترهای مدار معادل ترانسفورماتور و موتور القایی از داده بار - نشریه IEEE

Abstract

In this paper, a simple and robust technique is proposed for estimation of parameters characterizing electrical machine based on experimentally obtained load data under running condition. The equivalent circuit parameters of three phase induction motor and single-phase transformer have been estimated from load data obtained from the experiments. Data was analyzed employing particle swarm optimization technique and H-G diagram based resistance estimation technique. Estimated parameters have been compared with the corresponding values obtained through classical test procedure recommended by IEEE. Comparative study shows that, the proposed technique can reliably be used to estimate the parameters of electrical machines.

VII. CONCLUSION

Accurate parameter estimation is essential for vector controlled drives and fault detection of electrical machines. A simple, and effective technique to estimate the equivalent circuit parameters of a single-phase transformer and three phase induction motor from load data has been proposed in this paper. The identification process is carried out using a very simple method, which is very easy to understand and gives sufficiently good accuracy. Compared to other optimization methods PSO occupies the biggest optimization ability. The simulation result shows a reasonable degree of accuracy. This method is easy to implement and with little modifications it can be adopted for parameter estimation of other machines also. This method can be improved by validating it for Variable Voltage Variable Frequency (VVVF) drive induction motors with different load condition