基于MRAS的无速度传感器直线感应电机转速识别

Xuan Tu;Xinguo Hou;Jinghong Zhao;Sinian Yan;Yiyong Xiong
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引用次数: 0

摘要

在直线感应电机控制系统中,光栅速度传感器易受强磁场干扰。更重要的是,它可能会减少电机集成并提高设备成本。因此,本文研究了一种替代光栅速度传感器的速度识别方法。该直线感应电机转速识别方法主要采用模型参考自适应方法(简称MRAS)和波波夫超稳定性理论。本文的研究内容可分为四个部分。首先,推导了基于模型参考自适应系统结构的电机数学模型。其次,利用波波夫超稳定性理论求解了估计速度的自适应律,保证了系统的稳定性。第三,在MATLAB环境下,建立了基于模型参考自适应的直线感应电机转速辨识控制系统的仿真模型。最后,进行了仿真测试和分析。仿真结果表明,速度识别控制系统在空载和负载运行时都能很好地跟踪直线感应电机的实际速度,保证了系统在全速范围内的稳定性。
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Speed Identification of Speed Sensorless Linear Induction Motor Based on MRAS
In the linear induction motor control system, the optical grating speed transducer is susceptible to strong magnetic field interference. What's more, it may reduce motor integration and raise device costs. Therefore a speed identification method to replace grating speed transducer is studied in this article. This speed identification method for linear induction motor mainly adopts Model Reference Adaptive Method (Abbreviated as MRAS) and Popov Hyperstability Theory. The research content of this paper can be divided into four parts. First, the mathematical model of the motor based on the model reference adaptive system structure is deduced. Second, the adaptive law of the estimated speed is solved by Popov hyper-stability theory, which ensures the stability of the system. Third, the simulation model of the linear induction motor speed identification control system based on model reference adaptation is built in the MATLAB environment. Finally, the simulation test and analysis are carried out. The simulation results show that the speed identification control system can track the actual speed of the linear induction motor well in the no-load operation and the load operation, and the stability of the system is guaranteed in the full speed range.
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