Sensorless adaptive speed control for PMSM drives

2010 4th International Power Engineering and Optimization Conference (PEOCO) Pub Date : 2010-06-23 DOI:10.1109/PEOCO.2010.5559258

R. Mustafa, Z. Ibrahim, J. M. Lazi

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引用次数: 8

Abstract

The simplified mathematical model of the permanent magnet synchronous motor is developed in this paper. Speed and torque controls of permanent magnet synchronous motors are usually attained by the application of position and speed sensors yet, speed and position sensors require the additional mounting space, reduce the reliability in harsh environments and increase the cost of the motor. Therefore, many studies have been performed for the elimination of speed and position sensors. Therefore, a V-I model based model reference adaptive control is proposed. A Model Reference Adaptive Control (MRAC) has been formed using parameter uncertainty cancellation to estimate the speed without using any sensor. Firstly, the speed estimation errors of a voltage and current model-based adaptive speed due to the parameter variation are analyzed. Consequently, an adaptation mechanism model is developed to cancel the effects of parameter variations on the estimated speed performance. Finally, the speed control with quantitative control performance considering the effect due to the feedback of estimated speed is presented. The results show that the MRAC is superior to the conventional PI controller in dynamic performance and steady precision. The effectiveness of the proposed controller is demonstrated by some simulation by using MATLAB/SIMULINK.

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永磁同步电动机无传感器自适应速度控制

本文建立了永磁同步电动机的简化数学模型。永磁同步电机的速度和转矩控制通常是通过位置和速度传感器来实现的，但是，速度和位置传感器需要额外的安装空间，降低了恶劣环境下的可靠性，增加了电机的成本。因此，人们对消除速度和位置传感器进行了许多研究。为此，提出了一种基于V-I模型的模型参考自适应控制方法。在不使用任何传感器的情况下，采用参数不确定度对消的方法建立了模型参考自适应控制(MRAC)。首先，分析了基于电压电流模型的自适应速度估计由于参数变化而产生的误差。因此，建立了一种自适应机制模型来消除参数变化对估计速度性能的影响。最后，提出了考虑估计速度反馈效应的具有定量控制性能的速度控制方法。结果表明，MRAC在动态性能和稳态精度上都优于传统的PI控制器。通过MATLAB/SIMULINK仿真验证了该控制器的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2010 4th International Power Engineering and Optimization Conference (PEOCO)

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