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An asynchronous motor model in MATLAB/Simulink was selected as the simulation model of high-power, high-voltage (HP HV) motors for its structural suitability. The required electrical parameters of the model (i.e. simulation parameters) were then identified by an appropriate method. Based on the obtained results, a parameter identification system was developed for HP HV motors. The developed system was then applied to a typical HP asynchronous motor YKK1009-4 (12500k, 10kV); results demonstrated the effectiveness of the proposed simulation method. Introduction Identification of HP HV motors’ parameters is the basis of simulation research on current limited starting of HP HV motors. Using the Asynchronous Machine simulation model of a three-phase asynchronous motor in MATLAB/Simulink (R1012a) requires input of the resistances and self-inductances of the stator and rotor as well as other motor parameters. The technical parameters provided by motor manufacturers include the following items: nominal power, nominal current, speed, efficiency, power factor, etc. Therefore, these required parameters can be obtained only through identification[1][2]. Motor parameter identification can be performed online or offline. Since the starting of a motor is a fast, dynamic process, this study employed an offline identification method. There are two widely-used methods of offline identification: one method involves the no-load and blocked-rotor test, and the other method combines the step response test with the direct current attenuation method[3]-[5]. However, these two methods are inapplicable to high-capacity, high-voltage motors, primarily due to the immense difficulty of conducting such experiments. To address parameter identification of high-capacity, high-voltage motors, this study employed an electrical parameter estimation function in MATLAB/Simulink-PowerSystemTM to obtain the parameters of double squirrel-cage asynchronous motors, including the resistances and self-inductances of stator and rotor, based on the provided technical parameters. Simulation Model of HP HV Motors and Parameter Identification Method Squirrel-cage motors with a power output that exceeds 100 kW are typically designed with a double squirrel-cage shape. HP HV motors are asynchronous motors with power outputs greater than 500 kW and a nominal voltage of 6 kV or 10 kV; thus, a typical HP HV motor exhibits a double squirrel-cage shape. The Asynchronous Machine in MATLAB/Simulink (R1012a) was selected as the HP HV motor simulation model; the double squirrel-cage was selected as the rotor type. The primary model parameters include stator resistance Rs, stator leakage inductance L1s, inner cage resistance Rr1, inner cage leakage inductance L1r1, outer cage resistance Rr2, outer cage leakage inductance L1r2, mutual inductance Lm, moment of inertia J, coefficient of viscous friction F, and number of pole pairs P. Figure 1 depicts the steady-state equivalent circuit of a double squirrel-cage asynchronous motor, including the seven electrical parameters described above. 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2015) © 2015. The authors Published by Atlantis Press 473 Fig. 1 Steady-state equivalent circuit of a double squirrel-cage asynchronous motor Technical parameters provided by manufacturers include the nominal power PN, nominal current UN, rotational speed SN, efficiency η, power factor cosФ, ratio of starting current to nominal current (Ust/UN), ratio of maximum torque to nominal torque (Tst/TN), ratio of blocked-rotor torque to nominal torque (Tb/TN), and moments of inertia J of the motor (in both unloaded and loaded states). However, the first seven model parameters must be obtained via parameter identification. The electrical parameter estimation function for double squirrel-cage asynchronous motors in MATLAB/simulink—PowerSystemTM (i.e., power_Asynchronous MachineParams) can be easily employed to obtain the stator resistance and self-inductance, rotor resistance and self-inductance, and other electrical parameters based on the provided technical parameters. The employed electrical parameter estimation function for double squirrel-cage asynchronous motors was the Optimization Toolbox solver lsqnonlin. The solution was derived from a non-linear least squares algorithm. The aforementioned seven electrical parameters were then obtained by solving the non-linear equations described by Eq. (1): ( ) ( ) ( )

Parameter Identification of High-Power, High-Voltage Motors Using Electrical Parameter Estimation Function