首页> 外文会议>Mathematical models for engineering science >The stabilization of the rockets using a control system including a differentiator gyroscope, an accelerometer and a correction subsystem
【24h】

The stabilization of the rockets using a control system including a differentiator gyroscope, an accelerometer and a correction subsystem

机译:使用包括微分陀螺仪,加速度计和校正子系统的控制系统来稳定火箭

获取原文
获取原文并翻译 | 示例

摘要

The paper presents an angular stabilization system of the rockets in vertical pane using a differentiator gyroscope, an accelerometer and a correction subsystem. One has determined the transfer functions (in closed loop or in open loop) of the system in the complex variable or in discrete variable. All the eigenvalues of the system are placed in the left complex semi-plane (the proof of system's stability). Using three different methods (least square method, instrumental variables' method and neural networks method), one makes the identification of the system, obtaining (using a Matlab program and a Matlab/Simulink model) the frequency characteristics, responses to step or impulse input in the complex and discrete planes and time variations of the rocket's overload and of the pitch angular velocity. With least square method (LSM) the output of the system and the output of the model were plotted. The identification is made very well - the two signals overlap. With the second identification method (instrumental variables method - MVI), one obtained the frequency characteristics for LSM and MVI on the same graphic. The identification may also be made using neural networks. Using this method, one obtained the indicial responses of the control system and of the neural network before and after the training process.
机译:本文提出了一种使用微分陀螺仪,加速度计和校正子系统的垂直窗格中的火箭的角度稳定系统。人们已经确定了复变量或离散变量中系统的传递函数(闭环或开环)。系统的所有特征值都放在左复半平面中(系统稳定性的证明)。使用三种不同的方法(最小二乘法,工具变量的方法和神经网络方法),一种可以识别系统,获得(使用Matlab程序和Matlab / Simulink模型)频率特性,对阶跃或脉冲输入的响应在复杂和离散的平面中,以及火箭过载和俯仰角速度的时间变化。使用最小二乘法(LSM)绘制系统的输出和模型的输出。识别非常好-两个信号重叠。使用第二种识别方法(仪器变量方法-MVI),可以在同一图形上获得LSM和MVI的频率特性。识别也可以使用神经网络来进行。使用这种方法,可以在训练过程之前和之后获得控制系统和神经网络的独立响应。

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