| 高志朋,边敦新,李存贺,杜钦君,张国伟.基于超螺旋滑模自适应观测器的SynRM无传感器控制[J].电子测量与仪器学报,2024,38(9):184-194 |
| 基于超螺旋滑模自适应观测器的SynRM无传感器控制 |
| Sensorless control of SynRM based on super-twistingsliding mode adaptive observer |
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| DOI： |
| 中文关键词: 同步磁阻电机 无传感器控制 超螺旋滑模 自适应观测器 模型参考自适应系统 |
| 英文关键词:synchronous reluctance motor sensorless control super-twisting sliding mode adaptive observer model reference adaptive system |
| 基金项目:国家自然科学基金(62076152)、山东省科技型中小企业创新能力提升项目(2022TSGC1186)资助 |
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| Author | Institution |
| Gao Zhipeng | School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China |
| Bian Dunxin | School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China |
| Li Cunhe | School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China |
| Du Qinjun | School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China |
| Zhang Guowei | Shandong Kehui Electric Power Automation Co., Ltd, Zibo 255087, China |
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| 中文摘要: |
| 针对同步磁阻电机模型参考自适应法的无传感器控制存在的转速估计精度低、动态性能差等问题,提出一种基于超螺旋滑模自适应观测器的无传感器控制方法。首先,通过有限元仿真构建同步磁阻电机电感非线性模型,根据电机不同运行工况实时更新电感参数,提高观测器中模型准确性。在此基础上,使用超螺旋滑模算法代替PI自适应环节,并结合所选取的线性补偿矩阵构造超螺旋滑模自适应观测器来减小估计误差。最后,引入积分型全局快速终端滑模速度控制器提高系统的动态性能。仿真与实验结果表明,相比于基于模型参考自适应法的无传感器系统,所提策略在启动阶段转速响应速度快且超调量小,电机运行更加平稳,突变负载时转速波动小且转速误差收敛速度更快,在变速运行整个阶段也具有更高的转速和转子位置辨识精度,具有良好的动稳态性能,可以实现电机的高性能运行。 |
| 英文摘要: |
| A sensorless control method for synchronous reluctance motor based on super-twisting sliding mode adaptive observer was presented for the problems about low accuracy of speed estimation and poor dynamic performance about the sensorless control based on model reference adaptive system. Firstly, the inductance nonlinear model of synchronous reluctance motor was constructed by finite element simulation, and the inductance parameters were updated in real time according to different operating conditions of the motor, so as to improve the accuracy of the model in the observer. On this basis, the super-twisting sliding mode algorithm was used to replace the PI adaptive link, and the super-twisting sliding mode adaptive observer was constructed with the selected linear compensation matrix to reduce the estimation error. Finally, the integrated global fast terminal sliding mode speed controller was introduced to improve the dynamic performance of the system. Simulation and experimental results indicate that, compared to the sensorless system based on model reference adaptive control, the proposed strategy achieves a faster speed response and smaller overshoot during the startup phase, ensures smoother motor operation, exhibits minimal speed fluctuations and faster speed error convergence under sudden load changes, and demonstrates higher speed and rotor position identification accuracy throughout the entire variable-speed operation phase, thereby showcasing excellent dynamic and steady-state performance for high-performance motor operation. |
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