Permanent magnet synchronous motor parameter online identification method and system

By adjusting the gain coefficient using a fuzzy controller and employing a recursive least squares method, an adaptive Romberg state observer is constructed. This solves the problems of current tracking offset and torque pulsation in traditional observers when parameters are mismatched, and achieves high-precision and robust current control of permanent magnet synchronous motors.

CN122394441APending Publication Date: 2026-07-14BEIJING INST OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING INST OF TECH
Filing Date
2026-05-15
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

The gain coefficient of the traditional Romberg state observer is fixed, making it difficult to simultaneously meet the requirements of parameter identification convergence speed, noise and vibration suppression, and stability. This leads to problems such as current harmonics, current tracking deviation, and torque pulsation in permanent magnet synchronous motors when parameters are mismatched.

Method used

A fuzzy controller is used to adjust the gain coefficient of the state observer. Combined with the recursive least squares method, an adaptive Romberg state observer is constructed by identifying the rotor flux linkage and stator inductance online. This enables adaptive adjustment of the gain coefficient, rapid identification of parameters, and suppression of steady-state chattering.

Benefits of technology

It enables rapid and accurate identification of permanent magnet synchronous motor parameters, improves the dynamic and steady-state performance of the system, enhances robustness, and eliminates the impact of parameter mismatch on the control system.

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Abstract

The application discloses a permanent magnet synchronous motor parameter online identification method and system, and relates to the field of permanent magnet synchronous motor control, and comprises the following steps: inputting a rotor flux linkage estimation value change rate corresponding to a current moment into a fuzzy controller, outputting a feedback matrix parameter of a state observer at the current moment according to a preset fuzzy rule by the fuzzy controller, and obtaining a gain coefficient of the state observer based on the feedback matrix parameter; inputting a d-axis current, a q-axis current, the gain coefficient of the state observer and an identification result of a rotor flux linkage at a previous moment into the state observer at the current moment to obtain the identification result of the rotor flux linkage at the current moment; and inputting the identification result into a current equation of the permanent magnet synchronous motor to obtain an identification result of a stator inductance at the current moment. The application realizes online adaptive adjustment of the gain coefficient of the observer, and obtains an adaptive Luenberger observer. While fast identifying parameters, the application also suppresses steady-state chattering, and has good dynamic and steady-state performances.
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