自适应内联EESM无位置传感器控制
发布时间：2018-11-23 19:55
【摘要】：针对电励磁同步电机(EESM)的转子位置角辨识问题,提出了一种非线性的自适应内联观测器转子位置辨识方法。首先建立电励磁同步电机的扩展模型,然后对其进行分离设计,得到两个相互关联的子系统,并分别设计了两个子系统的反馈增益,构成自适应内联观测器,最后运用李雅普诺夫稳定性定理证明了所提方法的稳定性。该方法能够根据测量的电压和电流信号,辨识得到电机的速度、位置角以及q轴电感等信息;并将辨识信息反馈回控制回路以进一步优化电机的控制性能。仿真结果表明,该方法能够在电动和发电状态下实现宽转速范围内稳定运行,而且q轴电感的辨识值能够快速准确地跟随真实值,实验结果进一步验证了所提方法的有效性。
[Abstract]:A nonlinear adaptive inline observer rotor position identification method is proposed to identify the rotor position angle of electroexcitation synchronous motor (EESM). Firstly, the extended model of the electroexcitation synchronous motor is established, then the two interrelated subsystems are designed separately, and the feedback gain of the two subsystems is designed respectively to form an adaptive inline observer. Finally, the stability of the proposed method is proved by using Lyapunov stability theorem. According to the measured voltage and current signals, the method can identify the speed, position angle and Q axis inductance of the motor, and feedback the identification information back to the control loop to further optimize the control performance of the motor. The simulation results show that the proposed method can run stably in the state of electric and power generation and the identification value of the q-axis inductor can follow the real value quickly and accurately. The experimental results further verify the effectiveness of the proposed method.
【作者单位】： 中南大学信息科学与工程学院;中车株洲电力机车研究所有限公司;
【基金】：国家自然科学基金项目资助(61473314,61403425,61321003)
【分类号】：TM341
，
本文编号：2352542
[Abstract]:A nonlinear adaptive inline observer rotor position identification method is proposed to identify the rotor position angle of electroexcitation synchronous motor (EESM). Firstly, the extended model of the electroexcitation synchronous motor is established, then the two interrelated subsystems are designed separately, and the feedback gain of the two subsystems is designed respectively to form an adaptive inline observer. Finally, the stability of the proposed method is proved by using Lyapunov stability theorem. According to the measured voltage and current signals, the method can identify the speed, position angle and Q axis inductance of the motor, and feedback the identification information back to the control loop to further optimize the control performance of the motor. The simulation results show that the proposed method can run stably in the state of electric and power generation and the identification value of the q-axis inductor can follow the real value quickly and accurately. The experimental results further verify the effectiveness of the proposed method.
【作者单位】： 中南大学信息科学与工程学院;中车株洲电力机车研究所有限公司;
【基金】：国家自然科学基金项目资助(61473314,61403425,61321003)
【分类号】：TM341
，
本文编号：2352542
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