Parameter Sensitivity and Measurement Error Propagation in Torque Estimation Algorithms for Induction Machines

This paper studies error propagation and parameter sensitivity based on a torque estimation model for induction machines. The model is based on the equation describing the interaction of rotor flux linkage and rotor currents. Contrary to classical schemes for induction motor control this is an open loop scheme, however, the model still requires different machine parameters. Therefore the parameters sensitivity of the model is performed. For validation, the model is implemented in the real-time environment dSPACE and a test induction machine is subjected to different combinations of speed and torque profiles. The identified model can be used to replace mechanical torque measurement devices or as a backup of a cheap torque sensor