On-line Identification Of Induction Motor Parameters Considering Iron Loss Resistance

This paper investigates the common efficiency optimization methods of induction motors.The optimization method based on the motor loss model can achieve excellent efficiency optimization control while maintaining good control performance.In order to reduce the influence of motor parameter changes in the efficiency optimization model,the recursive least squares algorithm is used to further explore the online parameter identification.Based on the ordinary induction motor model,the derivation of the recursive least squares parameter online identification model is improved in this paper.The methods of signal filtering and data discretization in the identification algorithm are improved,and the performance of the online parameter identification method is improved.The ordinary induction motor model ignores the effect of motor iron loss and has a certain deviation from the actual physical model.In some application scenarios such as efficiency optimization,a more accurate motor model needs to be used.Based on the induction motor model considering the equivalent resistance of iron loss,a calculation method of the excitation current is proposed,and a new recursive least square method parameter online identification linear model is derived.The current and voltage signals are accurately sampled and discretely processed.The simulation and experimental platform perform model verification to realize online identification of important motor parameters such as iron loss resistance and rotor resistance.The technical points studied in this paper are first analyzed rigorously in theory,then MATLAB / Simulink simulation model for system verification is established,and finally the algorithm writing and experimental verification on the hardware platform is completed.Simulation and experimental results show that the proposed method can achieve good identification under different operating conditions,and quickly follow the changes of the parameters,This method lays good foundation for high-performance control of induction motors,such as efficiency optimization control.