Temperature and Humidity Dependent MRAS Based Speed Estimation Technique for Induction Motor Used in Mine Ventilation Drive

This paper aims to encapsulate the trends in the variation of speed with real-time parameters, i.e., temperature and the corresponding change in humidity thereof for the underground mine ventilation system. The purpose mentioned above is fulfilled using a precise and vigorous estimation method of the speed for the sensorless induction motor drive (IMD). The developed model reference adaptive scheme (MRAS) speed estimator can be utilized to control the IM speed for the underground mine ventilation system based on the real-time parameters. The present work is on temperature and humidity-dependent MRAS based sensorless speed estimation technique for IM used in mine ventilation drives. This methodology has been tested analytically and experimentally using MATLAB/Simulink and LabVIEW-2013 laboratory interfaces. Furthermore, a statistically validated empirical relation between the temperature, humidity of the underground mine and speed of the ventilation system has also been developed to facilitate calculations of the same. However, implementing the proposed methodology in an actual underground mine remains a thing of the future.