基于遥测技术的新型传感器柔性结构振动优化控制方法
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北京宇航系统工程研究所 北京 100076

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Optimal Vibration Control method of New Sensor flexible structure based on Telemetry Technology
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    摘要:

    为了提高新型传感器柔性结构振动抑制能力,提出基于遥测技术的新型传感器柔性结构振动优化控制方法。在速度坐标系、体坐标系下构建新型传感器柔性结构的振动动力学模型,采用卡尔曼滤波方法实现对新型传感器柔性结构振动参数的融合调节和小扰动抑制。采用气弹模态参数识别方法,进行新型传感器柔性结构的振动模态参数识别,提取新型传感器柔性结构振动特征量,采用遥测技术进行新型传感器柔性结构振动惯性参数识别,结合状态反馈调节方法进行稳定性控制,实现新型传感器柔性结构振动优化控制。仿真结果表明,采用该方法进行新型传感器柔性结构振动优化控制的自适应性较好,具有很好的振动抑制和控制能力。

    Abstract:

    In order to improve the vibration suppression ability of the flexible structure of the new sensor, it is necessary to carry out the vibration optimization control design of the flexible structure, and a new vibration optimization control method of the flexible structure of the sensor based on telemetry technology is proposed. The vibration dynamic model of the flexible structure of the new sensor is constructed, and the vibration dynamics and kinematic model of the flexible structure of the new sensor are constructed under the velocity coordinate system and the volume coordinate system. The Kalman filter method is used to realize the fusion adjustment and small disturbance suppression of the vibration parameters of the flexible structure of the new sensor. The vibration modal parameters of the flexible structure of the new sensor are identified by the Aeroelastic modal parameter identification method, the vibration characteristics of the flexible structure of the new sensor are extracted, the inertial parameters of the vibration of the flexible structure of the new sensor are identified by telemetry technology, and the stability control is carried out by combining the state feedback adjustment method to realize the optimal vibration control of the flexible structure of the new sensor. The simulation results show that the proposed method has good adaptability and robustness, and has good vibration suppression and control ability.

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高翔霄,任月慧,李思翀,王宇红,翟晋.基于遥测技术的新型传感器柔性结构振动优化控制方法计算机测量与控制[J].,2020,28(7):86-90.

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  • 收稿日期:2019-11-06
  • 最后修改日期:2020-01-04
  • 录用日期:2020-01-06
  • 在线发布日期: 2020-07-14
  • 出版日期: