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Efficiency optimization of induction motors based on online identification of iron loss equivalent resistance via dual extended Kalman filter

A novel dual extended Kalman filter algorithm which is used in the iron loss equivalent resistance on-line identification of induction motors, is proposed for the efficiency optimization control of induction motors, the parameter value of the iron loss equivalent resistance used in the efficiency optimization control algorithm of induction motors is corrected in real-time, so that the performance of the efficiency optimization is more precise, the operating efficiency of induction motors is enhanced, and the energy savings space is maximized. Simulation and experiment results show that the proposed method has the advantages such as fast response, high identification accuracy and the maximized efficiency. The proposed method is correct, effective and feasible.