Multi-parameter decoupling online identification method for asynchronous motor

Abstract

The present invention relates to the technical field of asynchronous motors, in particular to an online identification method for multi-parameter decoupling of asynchronous motors, comprising the following steps: S1: constructing a parallel identification algorithm for asynchronous motor speed and stator resistance, exploring the coupling relationship between speed and stator resistance, using The second law of Lyapunov designs the adaptive law of speed and stator resistance, and finally conducts parallel identification of speed and stator resistance based on MRAS; S2: Build an identification strategy for asynchronous motor rotor resistance, and establish a rotor resistance based on small signal injection MRAS system reference model of resistance and MRAS system adjustable model. The invention can ensure the stability of the parallel identification of the rotational speed and the stator resistance at extremely low speed / zero speed by designing the self-adaptive law of the rotational speed and the stator resistance; the rotational speed and the rotor resistance can be identified in parallel without any influence on the output torque.

Description

technical field [0001] The invention relates to the technical field of asynchronous motors, in particular to an online identification method for multi-parameter decoupling of asynchronous motors. Background technique [0002] In recent years, sensorless control of asynchronous motors has been widely used in industrial production because of its advantages of low maintenance cost, simple structure and strong system robustness. In the sensorless control technology of asynchronous motors, the stability of the control system at extremely low speed / zero speed and the online parallel identification research of multiple parameters are recognized as difficult problems in the academic circle. [0003] In some special applications, such as the elevator control system, the pure electric braking system of the subway, etc., the control performance of the motor at extremely low speed / zero speed is particularly important. However, in many speed sensorless observation methods, the motor can...

AI Technical Summary

Problems solved by technology

[0004] The second difficult problem is the multi-parameter parallel identification problem

[0010] (1) This method is still affected by the rotor resistance, and does not consider further identification of the rotor resistance;

[0011] (2) Although robust to stator resistance, it will still be affected;

[0012] (3) Only consider the stability of the system under speed identification, and do not consider the stability of the system under multi-parameter identification

[0015] (1) The method is affected by the stator resistance;

[0016] (2) It is difficult to extract the cogging harmonic signal, and it is relatively related to the structure of the motor, and the universality is poor;

[0017] (3) The stability of the method at very low / zero speed has not been demonstrated

[0018] In summary, in the current method, there is no literature that comprehensively considers the multi-parameter identification problem and the system stability problem at extremely low speed / zero speed

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