Online decoupling identification method of multiple parameters of PMSM (permanent magnet synchronous motor)

Abstract

The invention relates to the technical field of PMSMs, solves a coupling problem during online identification of multiple parameters of a surface-mounted type PMSM, and achieves online decoupling identification of PMSM inductance, stator resistance and rotor flux linkage. Accordingly, the technical scheme adopted by the invention is that an online decoupling identification method of multiple parameters of the PMSM comprises the steps as follows: 1) identifying and coupling analysis of parameters of the PMSM; 2) a decoupling identification strategy, wherein voltage deviation before and after D shaft current injection is used for increasing the order of a motor mathematical equation, so that the decoupling identification of multiple parameters of the surface-mounted type PMSM inductance, the stator resistance and the rotor flux linkage are achieved; 3) neural network identifier design, wherein according to a parameter online identification problem of the PMSM, online identification is performed on motor parameters by adopting a self-adaptive neural network structure and a weight convergence algorithm based on a least mean square algorithm. The method is mainly applied to the design and manufacture of the PMSM.

Description

technical field [0001] The invention relates to the technical field of permanent magnet synchronous motors, in particular to a multi-parameter decoupling online identification method for permanent magnet synchronous motors. Background technique [0002] Permanent magnet synchronous motor (PMSM) is widely used in various fields due to its advantages of high energy density, reliable operation and stable performance, but the speed regulation performance of PMSM often depends on the accuracy of motor parameters to a large extent. or not. The motor parameters will change due to factors such as temperature changes, magnetic saturation, and motor aging. Therefore, online acquisition of motor parameters is beneficial to the monitoring of motor running status and online correction of motor controller parameters to achieve better speed regulation performance. Therefore, since the online identification technology of permanent magnet synchronous motor parameters was proposed, it has a...

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Problems solved by technology

[0005] In addition, the current online parameter identification strategy for permanent magnet synchronous motors mainly has the following problems: 1) The designed parameter online identification algorithm is relatively complex, requires high computing power of the controller, and takes up a lot of computing time

2) For the simultaneous identification of multiple parameters of permanent magnet synchronous motors, there is a coupling relationship between the parameters, and many parameter identification algorithms have parameter error co

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