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标题：基于自适应全阶观测器的永磁同步电机参数辨识策略 |
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作者：姜红，郎孝宇，杨明，等 |
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| 2016年第11期 访问次数：354次 |
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摘要：永磁同步电机的很多高性能控制策略，如无位置传感器控制和模型预测控制，为达到理想的控制性能，都需要使用在线参数辨识来实时获取电机参数。当前的在线参数辨识方法都是基于电机电压方程，也需要实时采样电机电压和电流。因此，逆变器的死区效应和电流采样低通滤波器对电压和电流的负面影响将会降低参数辨识性能。为解决上述问题，本文提出了一种基于自适应全阶观测器的永磁同步电机参数辨识策略。首先，根据李雅普诺夫稳定性定理推导出电机参数观测器。之后，本文基于全阶观测器提出了一种自适应死区补偿策略消除死区效应。针对低通滤波器带来的电流采样延时，本文使用非线性跟踪微分器替代低通滤波器，在保证滤波效果的同时减小采样延时。实验结果验证了本文提出方法的有效性。
关键词：自适应全阶观测器；参数辨识；自适应死区补偿；非线性微分跟踪器；永磁同步电机
Abstract: Many advanced control strategies of PMSM, such as sensorless control and model predictive control, require PMSM parameters which are estimated by online parameter identification. Most of parameter identification methods are based on PMSM voltage equations, and request current and voltage feedback from motor. Therefore, the negative influences caused by deadtime and lowpass filter will worsen the performance of parameter identification. To resolve aforementioned issues, this paper proposed a PMSM parameters identification strategy based on adaptive fullorder observer. First, parameters estimators were obtained on the basis of Lyapunov stability theory. Moreover, a adaptive deadtime compensation method was proposed based on the fullorder observer. Furthermore, nonlinear tracking differentiator in introduced to replace lowpass filter to reduce the time delay of current sampling. Effectiveness of proposed strategy was verified through experimental results.
Key words: adaptive fullorder observer; parameters identification; adaptive deadtime compensation; nonlinear tracking differentiator;PMSM |
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