Online identification method for permanent magnet synchronous motor

Abstract

The invention provides an online identification method for a permanent magnet synchronous motor, and can realize the decoupling and the online identification of motor parameters, including stator inductance, rotor permanent magnet flux linkage and the like. The method comprises the following steps that: firstly, through a model prediction control method, a current prediction error formula is deduced, the stator inductance and the rotor flux linkage of the motor are further decoupled, mutual influences and mutual functions between motor parameters can be reduced, then, a Kalman filtering algorithm is used for carrying out online parameter identification on a discrete linear system, and a state vector is predicted and corrected. The filtered motor parameters can weaken the harmonic fluctuation of the motor due to external environment change in a running process so as to perform a significant meaning for eliminating the interference of external factors and improving motor control accuracy.

Description

technical field [0001] The invention relates to an online identification method for parameters of a permanent magnet synchronous motor, in particular to a technology for realizing online identification of parameters of a permanent magnet synchronous motor based on a Kalman filter algorithm. Background technique [0002] Motor parameters play a decisive role in the precise control of the motor. Therefore, in the current motor control system, it is necessary to accurately identify the motor parameters. The motor parameters include the stator inductance Ls, stator resistance Rs and rotor flux linkage Ψf of the motor. Currently applied more mature motor control technology including vector control technology and direct torque control technology. In the vector control system, the double closed-loop control of the speed outer loop and the current inner loop is adopted, and the precise control parameters (such as stator resistance and stator inductance, etc.) determine the smooth op...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problems that the motor parameters are difficult to determine due to the influence of the external environment such as temperature during the operation of the motor, and the inaccurate estimation of the motor parameters will easily lead to unsatisfactory motor control effects, the present invention provides a permanent magnet synchronous motor. Parameter online identification method, based on the combination of finite set-model predictive control method and Kalman filter algorithm

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