A Composite Control Method for Permanent Magnet Synchronous Motor System with Nonlinearly Parameterized-Uncertainties

Shenghui Li (), Zhenxing Sun and Ying Shi
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Shenghui Li: School of Electronic and Optical Engineering, Nanjing University of Science and Technology Zijin College, Nanjing 210023, China
Zhenxing Sun: School of Electronic and Control Science, Nanjing Tech University, Nanjing 211816, China
Ying Shi: School of Electronic and Optical Engineering, Nanjing University of Science and Technology Zijin College, Nanjing 210023, China

Energies, 2022, vol. 15, issue 19, 1-15

Abstract: In many industrial practices, it needs a permanent magnet synchronous motor to provide enough torque, such as autonomous vehicle driving. In the operation of a permanent magnet synchronous motor, the nonlinearly parameterized-uncertainties degrade control performances, causing the instability of motor speed and output torques. Based on the analysis of temperature effects and friction torque model, a composite controller is proposed in this paper which considers model uncertainties and external disturbances. An adaptive controller involving an online time-varying scaling gain is employed to eliminate the influence of nonlinearly parameterized-uncertainties. In addition, an extended state observer (ESO) is used to estimate the disturbance in the control system in which the estimated value is used to compensate for the feed-forward. Numerical simulation and experiment are performed and the results show that the proposed method may alleviate the performance degradation due to nonlinearly parameterized-uncertainties and disturbances. Simultaneously, it may improve the stability and anti-disturbance capacities of the system.

Keywords: adaptive composite control; extended state observer (ESO); nonlinearly parameterized-uncertainties; permanent magnet synchronous motor (PMSM) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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