Vector control of permanent magnet synchronous motor drive system based on new sliding mode control

Zhang, Yun; Wu, Hao; Chien, Ying-Ren; Tang, Jingwei

doi:10.1587/elex.20.20230263

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…Sliding mode flux observer (SMO) based on the principle of sliding mode variable structure control is unaffected by external disturbances and has strong robustness to parameter variations in the system. Consequently, many experts and scholars have conducted in-depth research on this topic [11,12,13,14,15]. Reference [16] proposed a method based on error backpropagation neural network for optimizing the parameters of rotor position observer.…”

Section: Introductionmentioning

confidence: 99%

Predictive current control method based on IPSO-ASMO for LIM

2024

IEICE Electron. Express

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This paper presents a new method to overcome the degraded control performance of linear induction motors (LIM) due to end effects. The method employs a parameter-self-tuning adaptive sliding mode observer (ASMO) and model predictive current control (MPCC), which first develops a LIM mathematical model considering end effects and then designs the MPCC to strengthen the control. To improve the accuracy of the flux observation, the method develops the ASMO and analyzes the stability of the observer. For parameter tuning, the method utilizes an improved particle swarm optimization algorithm (IPSO). Overall, the experimental findings validate the effectiveness of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Predictive current control method based on IPSO-ASMO for LIM

2024

IEICE Electron. Express

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Interdisciplinary Education Promotes Scientific Research Innovation: Take the Composite Control of the Permanent Magnet Synchronous Motor as an Example

Gao,

Fang,

Pan

2024

Mathematics

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Intersecting disciplines, as an important trend in the development of modern academic research and education, have exerted a profound and positive influence on scientific research activities. Based on control theory and fractional-order theory, this paper presents a novel approach for the speed regulation of a permanent magnet synchronous motor (PMSM) in the presence of uncertainties and external disturbances. The proposed method is a composite control based on a model-free sliding mode and a fractional-order ultra-local model. The model-free sliding mode is a control strategy that utilizes the sliding mode control methodology without explicitly relying on a mathematical model of the system being controlled. The fractional-order ultra-local model is a mathematical representation of a dynamic system that incorporates the concept of fractional-order derivatives. The core of the controller is a new type of fractional-order fast nonsingular terminal sliding mode surface, which ensures high robustness, quick convergence, while preventing singularity. Moreover, a novel fractional-order nonlinear extended state observer is proposed to estimate both internal and external disturbances of the fractional-order ultra-local model. The stability of the system is analyzed using both the Lyapunov stability theory and the Mittag–Leffler stability theory. The analysis confirms the convergence stability of the closed-loop system under the proposed control scheme. The comparison results indicate that the proposed composite control based on the fractional-order ultra-local model is a promising solution for regulating the speed of PMSMs in the presence of uncertainties and disturbances.

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Vector control of permanent magnet synchronous motor drive system based on new sliding mode control

Cited by 2 publications

References 30 publications

Predictive current control method based on IPSO-ASMO for LIM

Predictive current control method based on IPSO-ASMO for LIM

Interdisciplinary Education Promotes Scientific Research Innovation: Take the Composite Control of the Permanent Magnet Synchronous Motor as an Example

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