Sensorless Control of PMSM Based on an ANFIS Optimized Flux Sliding Mode Observer

Authors

Huilin Zhang, 1.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;Follow
Yujie Jin, 1.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;Follow
Haima Yang, 2.School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;

Abstract

Abstract: Aiming at the low estimation accuracy of rotor speed and position and the system chattering in sensorless control of permanent magnet synchronous motor (PMSM), an adaptive neuro-fuzzy inference system (ANFIS) is proposed to optimize the flux sliding mode observer(FSMO). Compared with the traditional sliding mode observer, the FSMO improves the estimation accuracy of the rotor flux. The FSMO optimized by ANFIS realizes the on-line adjustment of the observer gain and reduces the system chattering. The improved PLL improves the estimation accuracy of the rotor speed and position. A simulation platform is established to verify the results which show that the ANFIS optimized FSMO can effectively improve the accuracy of the rotor speed and position estimation in PMSM sensorless control and reduce the system chattering.

Recommended Citation

Zhang, Huilin; Jin, Yujie; and Yang, Haima (2022) "Sensorless Control of PMSM Based on an ANFIS Optimized Flux Sliding Mode Observer," Journal of System Simulation: Vol. 34: Iss. 8, Article 3.
DOI: 10.16182/j.issn1004731x.joss.21-0270
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss8/3

First Page

1682

Revised Date

2021-06-15

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0270

Last Page

1690

CLC

TP391.9

Recommended Citation

Huilin Zhang, Yujie Jin, Haima Yang. Sensorless Control of PMSM Based on an ANFIS Optimized Flux Sliding Mode Observer[J]. Journal of System Simulation, 2022, 34(8): 1682-1690.

Corresponding Author

Yujie Jin,1941186661@qq.com

DOI

10.16182/j.issn1004731x.joss.21-0270