Speed sensorless control of dual three-phase induction machine based on a luenberger observer for rotor current estimation

Most sensorless algorithms applied to electrical drives are based on the mathematical representation of a physical system which includes electrical and mechanical variables of the motor. However, in electrical drive applications, the rotor current cannot be measured, so it must be estimated. This paper deals with the speed sensorless control of asymmetrical dual three-phase induction machines by using an inner loop of Model-Based Predictive Control (MBPC). The MBPC is obtained from the mathematical model of the machine, using a state-space representation where the two state variables are the stator and rotor currents, respectively. The rotor current is estimated using a reduced order estimator based on a Luenberger observer. Finally, simulation results are provided to show the efficiency of the proposed sensorless speed control algorithm.