...
首页> 外文期刊>Journal of Advanced Mechanical Design, Systems, and Manufacturing >Modeling for finding armature assembly moment of inertia in jet pipe servo valve torque motor
【24h】

Modeling for finding armature assembly moment of inertia in jet pipe servo valve torque motor

机译:喷射管伺服阀转矩电机中电枢总成转动惯量的建模

获取原文
           

摘要

Jet pipe electro-hydraulic servo valve is the heart of feedback control system, its performance plays an important role in establishing the properties of the system. Dynamic characteristics of the jet pipe servo valve depend on many parameters such as the stiffness of flexure tube and feedback spring or the moment of inertia of torque motor. The research results show that the stiffness of armature assembly and feedback spring are the key parts which can be directly related to the geometric and material parameters of torque motor. A suitable stiffness of the elastic system is necessary because a too low stiffness results in unstable equilibrium while a high stiffness requires a high electric input current. It is required the best stiffness of the flexure tube and the overall system for improving dynamic characteristics. A finite element method analysis is used in mathematical model for finding stiffness of the elastic system, moreover, the effect of amplitude bandwidth on the dynamic characteristics is developed, too. In order to improve the dynamic response bandwidth of two-stage jet pipe electro-hydraulic servo valve, optimal design for the moment of inertia of torque motor is investigated in this paper. The approximate range of the moment of inertia, J_(a) , is found and the proper cause-effect relationship between the bandwidth and, J_(a) , is revealed as well.
机译:喷射管电液伺服阀是反馈控制系统的核心,其性能在建立系统性能方面起着重要作用。喷射管伺服阀的动态特性取决于许多参数,例如挠性管和反馈弹簧的刚度或转矩电机的惯性矩。研究结果表明,电枢组件和反馈弹簧的刚度是关键部件,可以直接与转矩电动机的几何和材料参数有关。弹性系统需要适当的刚度,因为太低的刚度会导致不稳定的平衡,而高刚度则需要高输入电流。要求挠曲管和整个系统具有最佳的刚度,以改善动态特性。在数学模型中使用有限元方法分析来寻找弹性系统的刚度,此外,还开发了振幅带宽对动力特性的影响。为了提高二级射流管电液伺服阀的动态响应带宽,研究了转矩电机惯性矩的优化设计。找到惯性矩的大致范围 J_(a),并揭示带宽与 J_(a)之间的适当因果关系。

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