Improved MRAS control method based on limited memory least square method

Abstract

The invention discloses an improved MRAS control method based on a limited memory least square method. A limited memory least square method identification module is configured in front of an adjustable model of a traditional MRAS; online identification is carried out on PMSM nonlinear parameters, the characteristics of old data elimination and updating of a limited memory least square method identification algorithm are utilized, the defects of data saturation and identification result direction deviation in the identification process are effectively avoided, and the identification accuracy and rapidity are improved. And the stator resistance, the stator inductance and the rotor flux linkage of the PMSM obtained by identification are input into the MRAS adjustable model in real time, and the nonlinear quantity of the adjustable model is updated in real time, so that the stator current vector error is more accurate, and the accuracy of self-adaptive rotating speed estimation is furtherimproved. The method has the advantages of being high in control accuracy, good in dynamic performance, high in robustness, low in cost, simple in control algorithm, high in estimation speed and precision of the rotating speed and the position and the like.

Description

technical field [0001] The invention relates to the technical field of motor control, in particular to an improved MRAS control method based on the limited memory least square method. Background technique [0002] Permanent Magnet Synchronous Motor (PMSM) has the advantages of high power density, high energy conversion efficiency, wide speed range, small size, light weight, etc., and has been widely used in industrial, civil, military and other fields. [0003] The control of the traditional permanent magnet synchronous motor needs to obtain the position and speed information of the motor rotor. At present, the commonly used position sensors include photoelectric encoders, resolvers and other devices, and the use of these devices not only increases the volume and cost of the system, but also reduces the System reliability. Due to the continuous improvement of the performance of permanent magnet materials and the continuous discovery of domestic rare earth stocks, the applic...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the deficiencies in the prior art, the present invention provides an improved MRAS control method based on the limited memory least squares method, which effectively overcomes the influence of environmental changes on the nonlinear parameters of the motor existing in the rotor angle and speed estimation methods in the prior art Large, inaccurate model establishment, large amount of calculation, and slow dynamic response of the entire system, resulting in unstable motor speed control effect, high model accuracy and dynamic response, and easy engineering implementation

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