Online identification method and device for motor stator resistance, and motor control system

Abstract

The invention discloses an online identification method and an online identification device for stator resistance of a motor, and a motor control system. The online identification method comprises the steps of: injecting a preset current to a d-axis of a synchronous rotating dq axis system; acquiring a d-axis voltage and a d-axis current of the synchronous rotating dq axis system; carrying out high-pass filtering processing on the d-axis voltage and the d-axis current separately; and calculating the stator resistance of the motor according to the d-axis voltage and the d-axis current after high-pass filtering processing as well as stator inductance of the motor. The online identification method can obtain accurate stator resistance, has the advantages of simple measurement and easy implementation, and can be applied to engineering practice.

Description

technical field [0001] The invention relates to the technical field of motors, in particular to an online identification method of a motor stator resistance, an online identification device of a motor stator resistance and a motor control system. Background technique [0002] In the process of sensorless control based on vector control, accurate flux linkage information needs to be mastered, so flux linkage estimation is required. In the estimation of stator flux linkage based on the voltage model, only the stator resistance is the motor parameter involved, so accurate stator resistance value can improve the accuracy of flux linkage estimation. At the same time, according to the precise motor stator resistance value, the temperature of the motor can also be monitored in real time. [0003] In the related art, the stator resistance identification method based on the steady-state model of the motor is to calculate the reactive power, stator flux linkage, rotor flux linkage an...

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Problems solved by technology

[0003] In the related art, the stator resistance identification method based on the steady-state model of the motor is to calculate the reactive power, stator flux linkage, rotor flux linkage and electromagnetic torque of the motor sequentially according to the detected stator current and stator voltage, and then according to the above calculation results The stator resistance is calculated using the stator resistance identification expression derived in advance; the key point of the stator resistance identification method based on the self-adaptive theory is to determine the appropriate error amount through repeated test adjustments, such as: rotor magnetism based on voltage model and current model The error of the d-axis component of the chain, the error based on active power or reactive power, and the error of the stator current in the d-direction component of the synchronously rotating dq axis system, etc., the process is very complicated

Therefore, how to reduce the complexity of stator resistance online identification is a technical problem that needs to be solved urgently in this field

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