Bearingless asynchronous motor rotor resistance identification method based on reactive power

Abstract

The invention provides a bearingless asynchronous motor rotor resistance identification method based on reactive power. Firstly a reference model and an observation model of torque system reactive power are deduced in a static coordinate system, and the reference model does not include stator resistance parameters and pure integration element; and then a rotor resistance fuzzy PI adaptive law based on the Popov hyperstability theory is constructed, and real-time adjustment of the parameters of kp and ki in the adaptive law can be completed by the fuzzy control technology so as to improve the parameter self-tuning ability of the adaptive law, improve the real-time rapidity and accuracy of rotor resistance identification, construct the bearingless asynchronous motor rotor resistance identifier based on the reactive power and the rotor resistance identification of the bearingless asynchronous motor. The method belongs to the technical field of online parameter detection of the novel special motor and is especially suitable for the occasion of high-performance dynamic control application of the bearingless asynchronous motor.

Description

technical field [0001] The invention relates to the technical field of parameter detection of special AC motors, in particular to a method for identifying rotor resistance of a bearingless asynchronous motor based on reactive power. Background technique [0002] Bearingless motor is a new type of motor suitable for high-speed operation developed in recent years based on the similarity between magnetic bearing and stator structure of AC motor. It has broad application prospects in aerospace, material sealing transmission, advanced manufacturing and other fields. During the operation of the bearingless asynchronous motor, the motor parameters will change with the change of the operating environment, especially the rotor resistance is greatly affected by the temperature change, which will lead to the observation error of the rotor flux linkage, thus indirectly affecting the accuracy of the air gap flux linkage. performance, dynamic decoupling control performance of the system. ...

AI Technical Summary

Problems solved by technology

During the operation of the bearingless asynchronous motor, the motor parameters will change with the change of the operating environment, especially the rotor resistance is greatly affected by the temperature change, which will lead to the observation error of the rotor flux linkage, thus indirectly affecting the accuracy of the air gap flux linkage. performance, dynamic decoupling control performance of the system

[0003] The search results of existing literature and patents found that: Among the commonly used identification methods of motor rotor resistance, the least square method is more sensitive to measurement noise; the extended Kalman filter method has a large amount of calculation; The online identification of the state and parameters of the motor has strong robustness, but its algorithm is complex and difficult to apply in practice; MRAS has the advantages of simple algorithm and easy implementation, and has been widely used in the identification of rotor resistance parameters of ordinary asynchronous motors However, up to now, there are few studies on the rotor resistance of bearingless asynchronous motors. According to the principle of the influence of rotor resistance changes on the air gap flux linkage of the torque system, the identification of rotor resistance of bearingless asynchronous motors is carried out by using magnetic levitation force commands. research, but it can only be applied in the special case of known external radial force load

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