首页> 外文会议>IFAC International Workshop on Adaptation and Learning in Control and Signal Processing >PMSG sensorless control with the Derivative-free nonlinear Kalman Filter for Distributed Generation units
【24h】

PMSG sensorless control with the Derivative-free nonlinear Kalman Filter for Distributed Generation units

机译:PMSG无传感器控制与分布发电单元的无衍生非线性卡尔曼滤波器

获取原文

摘要

A control method for distributed interconnected power generation units is developed. The power system comprises Permanent Magnet Synchronous Generators (PMSGs) which are connected to each other through transformers and tie-lines. A derivative-free nonlinear Kalman Filtering approach is introduced aiming at implementing sensorless control of the distributed power generators. By redesigning the proposed derivative-free nonlinear Kalman Filter as a disturbance observer it is shown that it is possible to estimate at the same time the non-measurable elements of each generator's state vector, the unknown input power (torque) and the disturbance terms induced by interarea oscillations. The efficient real-time estimation of the aggregate disturbance that affects each local generator makes possible to introduce a counter-disturbance control term thus maintaining the power system on its nominal operating conditions.
机译:开发了一种用于分布式互连发电单元的控制方法。电力系统包括通过变压器和系线彼此连接的永磁同步发电机(PMSG)。介绍无导数的非线性卡尔曼滤波方法,用于实现分布式发电机的无传感器控制。通过重新设计所提出的无线非线性卡尔曼滤波器作为干扰观察者,示出了可以同时估计每个发电机状态向量的非可测量元件,所未能的输入功率(扭矩)和所引起的干扰术语通过Interraea振荡。影响每个局部发生器的聚合干扰的有效实时估计可以引入反干扰控制术语,从而将电力系统保持在其标称操作条件上。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号