Decoupling control of five-phase fault-tolerant permanent magnet motor by radial basis function neural network inverse

Chen, Q.; Cai, Xiaoyu; Xu, Gaohong

doi:10.1109/intmag.2017.8008072

Cited by 1 publication

(1 citation statement)

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“…In addition, the motor dynamic and static performances are affected by the coupling characteristics of the stator current and rotating speed (Chen et al, 2018; Yong et al, 2018), which have seldom been considered in the research of the chaos control of the PMSM. Although the state feedback decoupling method is used to decouple the linear synchronous motor in the reference (Cai et al, 2018), the design of the chaos control controller based on the backstepping method is more complex.…”

Section: Introductionmentioning

confidence: 99%

Research on chaos control of permanent magnet synchronous motor based on the synthetical sliding mode control of inverse system decoupling

Zhang

Gong

Shi

et al. 2020

Journal of Vibration and Control

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This article focuses on realizing the chaos control of a permanent magnet synchronous motor by combining a pseudo-linear inverse system of the permanent magnet synchronous motor and synthetical sliding mode control. First, the permanent magnet synchronous motor dimensionless nonlinear mathematical model is established, and its chaos is analyzed by the Lyapunov exponent method. The permanent magnet synchronous motor parameter range when chaos appears is obtained. Then, the inverse system decoupling method is used to analyze the reversibility of the permanent magnet synchronous motor system, and the permanent magnet synchronous motor inverse system is obtained, which is compounded with the original system into a pseudo-linear inverse system that consists of two independent subsystems, including a first-order d-axis current system and a second-order rotational speed system, to decouple the permanent magnet synchronous motor system. Third, the first-order d-axis subsystem is controlled by sliding mode control with a hyperbolic tangent function as the switching function, and the second-order speed subsystem is controlled by super-twisting sliding mode control with a hyperbolic tangent function as the switching function, which is called the synthetical sliding mode control. The permanent magnet synchronous motor pseudo-linear inverse system is controlled by using the synthetical sliding mode to realize the chaos control of the permanent magnet synchronous motor. Finally, three kinds of permanent magnet synchronous motor chaos control systems are established in MATLAB/Simulink software, and the experimental tests are implemented. The results show that the proposed permanent magnet synchronous motor chaos control system has good performance, which can effectively eliminate chattering in sliding mode control and control chaos in the permanent magnet synchronous motor system.

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Section: Introductionmentioning

confidence: 99%