A New Hybrid Modelling Technique for Predicting Permanent Magnet Synchronous Motor Parameter Changes due to Temperature and Load

This work proposes a new hybrid modelling technique for predicting permanent magnet synchronous motor parameter changes due to temperature and load. Motor parameter changes affects drive performance; lowering drive accuracy. It is therefore pertinent that these changes be accurately accounted for in the controller model. Although the focus is on developing a hybrid model for inductance, the effects of temperature on resistance, PM flux, and PMSM performance are also presented. To develop the hybrid model, the effect of load variation on inductance is first measured at constant temperature and then followed by that of temperature at constant load. It was found that while load variation created a nonlinear effect, temperature caused a linear change in inductance. Combining the linear temperature and non-linear load models gives the hybrid model.