Asynchronous motor multi-parameter decoupling online identification method

Abstract

The invention relates to the technical field of asynchronous motors, in particular to an asynchronous motor multi-parameter decoupling online identification method. The method comprises the followingsteps: S1, constructing a parallel identification algorithm of the speed and the stator resistance of an asynchronous motor, exploring a coupling relationship between the speed and the stator resistance, designing an adaptive law of the speed and the stator resistance by utilizing a Lyapunov second law, and performing parallel identification on the speed and the stator resistance based on MRAS; and S2, constructing an identification strategy of the rotor resistance of the asynchronous motor, and establishing an MRAS system reference model and an MRAS system adjustable model of the rotor resistance based on a small signal injection mode. By designing the speed and stator resistance adaptive law, the stability of parallel identification of the speed and the stator resistance at an ultra-lowspeed / zero speed can be ensured, and the 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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