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Copyright of Food Research & Development is the property of Food Research & Development Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Speed and rotor position estimation are critical for PMSM non - sensing control system. The EKF al- gorithm has been widely used in the industrial field as a sensorless control technology. However，the EKF algorithm produces truncation erors during system linearization，and accurate estimates cannot be obtained for highly nonlinear models. In onier to reduce the error caused by nonlinear problem of EKF algoritiim，based on AIEKF，a state estima- tion for PMSM was proposed in the study. Based on the degree of nonlinearity of the quantized state equation，this metiiod reduced the influence of tiie error generated in the linearization of EKF algoritiim on the estimation accuracy by adding pseudo state value，thereby reducing the errors caused by the linearization process of tiie system. Finally， simulation showed that tiie interception eror of AIEKW was lower than EKF by 55.6%. [ABSTRACT FROM AUTHOR]