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基于滑模观测器和锁相环的无轴承感应电机无速度传感器控制

Speed sensorless control of a bearingless induction motor based on sliding mode observer and phase-locked loop.

作者信息

Yang Zebin, Ding Qifeng, Sun Xiaodong, Lu Chengling, Zhu Huimin

机构信息

School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.

School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.

出版信息

ISA Trans. 2022 Apr;123:346-356. doi: 10.1016/j.isatra.2021.05.041. Epub 2021 Jun 1.

Abstract

To realize the low-cost and high-performance of a bearingless induction motor (BIM), a speed sensorless control strategy combined with the improved sliding mode observer (SMO) and phase locked-loop (PLL) is proposed. Based on analyzing the principle of the traditional SMO, the improved SMO adopts a switching function that has a double boundary layer structure to reduce the high-frequency jitter. Firstly, the observation equation of the rotor flux is established where the stator current, as well as the rotor flux are two state variables, and then the system stability is discussed with the Lyapunov theory. Secondly, to reduce the rotor chatter and enhance the speed tracking performance a flux electrical angle detecting module is constructed based on the PLL structure that extracts the rotor flux electrical angle and speed from the observed flux component. Finally, the BIM speed sensorless vector control system is established and the simulation results and experimental results are respectively presented by the MATLAB/Simulink simulation platform and a laboratory prototype. Both results prove that this strategy can not only enhance the speed self-detection capability and tracking performance, but can guarantee the excellent self-suspension function as well.

摘要

为实现无轴承感应电机(BIM)的低成本和高性能,提出了一种结合改进滑模观测器(SMO)和锁相环(PLL)的无速度传感器控制策略。在分析传统滑模观测器原理的基础上,改进的滑模观测器采用具有双边界层结构的切换函数来减少高频抖动。首先,建立了以定子电流和转子磁链为两个状态变量的转子磁链观测方程,然后用李雅普诺夫理论讨论了系统稳定性。其次,为减少转子颤动并提高速度跟踪性能,基于锁相环结构构建了磁链电角度检测模块,该模块从观测到的磁链分量中提取转子磁链电角度和速度。最后,建立了无轴承感应电机无速度传感器矢量控制系统,并通过MATLAB/Simulink仿真平台和实验室样机分别给出了仿真结果和实验结果。两者结果均证明该策略不仅能提高速度自检测能力和跟踪性能,还能保证优异的自悬浮功能。

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