Improved Rotor Position Detection Speed Based on Optimized BP Neural Network for Permanent Magnet Synchronous Motor

Chang, Weiyoung; Wang, Min-Hsuan; Yang, Haofen; Wei, Yan

doi:10.1109/iccar.2019.8813468

Cited by 2 publications

(1 citation statement)

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“…In reference [6], the idea of bandwidth is introduced, and linear active disturbance rejection control (LADRC) is proposed, which greatly simplifies the parameter tuning. Reference [7] proposes a control strategy based on BP neural network. The strategy has strong nonlinear information processing capability and does not depend on the external model of the system, thus improving the robustness of the system, but it has some shortcomings such as slow convergence speed and local minimum.…”

Section: Introductionmentioning

confidence: 99%

A Novel Fuzzy PI-LADRC Combined Control Strategy for Permanent Magnet Synchronous Motorized Spindle

Shan

Yun

Bai

2021

Preprint

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This paper focuses on the vector control scheme of surface-mounted permanent magnet synchronous motorized spindle, to solve the problem of poor speed regulation performance of spindle under high-speed operation conditions, according to the principle of double closed-loop vector control, the characteristics of speed loop and current loop are analyzed, and fuzzy theory is introduced to optimize the traditional speed loop PI controller, furthermore the system parameters are adjusted in real time. Aiming at improving the dynamic response ability of the control system, a first-order linear active disturbance rejection controller is proposed to replace the traditional current loop PI controller, which enhances the anti-interference ability of the system. Experimental results show that the fuzzy PI-LADRC combined control strategy can effectively reduce stator current ripple and torque ripple, and improve the dynamic response speed and anti-interference ability of the system. At last can also improve the output performance of the motorized spindle.

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Section: Introductionmentioning

confidence: 99%