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用于永磁同步电机无传感器速度控制的基于指数趋近律的模型参考自适应系统和伪滑模控制

Model reference adaptive system and pseudo-sliding mode control with exponential reaching law for sensorless-speed control of PMSM.

作者信息

Karboua Djaloul, Mebkhouta Toufik, Benkaihoul Said, Chouiha Youcef, Toual Belgacem, Alqarni Zuhair A, Tazay Ahmad F, Mosaad Mohamed I

机构信息

Renewable Energy Systems Applications Laboratory (LASER), University of Djelfa, Algeria.

Laboratory of Electrical Engineering Biskra (LGEB), Department of Electrical Engineering, Faculty of Science and Technology, University of Biskra, Algeria.

出版信息

PLoS One. 2025 May 19;20(5):e0321985. doi: 10.1371/journal.pone.0321985. eCollection 2025.

DOI:10.1371/journal.pone.0321985
PMID:40388518
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12088525/
Abstract

Sensorless speed motor drives are essential for developing control techniques, reducing cost, streamlining the system, and enhancing reliability. This study explores the area of sensorless speed control for Permanent Magnet Synchronous Motors (PMSMs) by proposing a hybrid control technique. This technique integrates the model reference adaptive system (MRAS) and pseudo-sliding mode control with an Approach Reaching Law (ARL). The MRAS is implemented as a robust sensorless observation method that efficiently handles uncertainties, adapts to dynamic conditions, and aims to achieve dependable performance by having the controlled system mimic a reference model. On the other hand, the pseudo-sliding mode control entails using a continuous approximation (CA) methodology to successfully resolve the chattering problem often seen in conventional sliding mode control approaches. This approach of control allocation enables more seamless control signals, hence improving the longevity of the system and minimizing unwanted oscillations. The ARL component relies on the Exponential Reaching Law (ERL), which enables fast and precise convergence to the intended sliding surface. The exponential characteristics of the ERL lead to faster reaction times and enhanced dynamic performance, guaranteeing the timely attainment of the sliding surface while being robust against changes in parameters and external disturbances. To assess the efficacy of the proposed sensorless hybrid control approach, uncertainties and disturbances were simulated, including PMSM parameters variation, load torque application, and speed level changes. The effectiveness of the suggested approach is compared to control strategies for PMSM, such as the classical ERL-SMC (Type 1) and the pseudo-sliding mode ERL-SMC (Type 2) schemes. The simulations were conducted exclusively using MATLAB/Simulink.

摘要

无传感器速度电机驱动对于开发控制技术、降低成本、简化系统和提高可靠性至关重要。本研究通过提出一种混合控制技术,探索了永磁同步电机(PMSM)的无传感器速度控制领域。该技术将模型参考自适应系统(MRAS)和带有趋近律(ARL)的伪滑模控制相结合。MRAS被实现为一种强大的无传感器观测方法,能够有效处理不确定性、适应动态条件,并旨在通过使受控系统模仿参考模型来实现可靠的性能。另一方面,伪滑模控制需要使用连续逼近(CA)方法来成功解决传统滑模控制方法中常见的抖振问题。这种控制分配方法能够实现更无缝的控制信号,从而提高系统的寿命并最小化不必要的振荡。ARL组件依赖于指数趋近律(ERL),它能够快速精确地收敛到预期的滑模面。ERL的指数特性导致更快的反应时间和增强的动态性能,保证及时到达滑模面,同时对参数变化和外部干扰具有鲁棒性。为了评估所提出的无传感器混合控制方法的有效性,对不确定性和干扰进行了仿真,包括PMSM参数变化、负载转矩施加和速度水平变化。将所建议方法的有效性与PMSM的控制策略进行了比较,如经典的ERL - SMC(类型1)和伪滑模ERL - SMC(类型2)方案。仿真仅使用MATLAB/Simulink进行。

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