Moving-mass attitude control system based on RBF networks

QIN Li; YANG Ming; GUO Qing

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Moving-mass attitude control system based on RBF networks

更新时间：2026-07-07

- Moving-mass attitude control system based on RBF networks
- Vol. 22, Issue 7, (2007)
- 作者机构：
  
  哈尔滨工业大学控制与仿真中心,黑龙江,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2007
- 稿件说明：
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QIN Li, YANG Ming, GUO Qing. Moving-mass attitude control system based on RBF networks[J]. 2007, 22(7).
DOI：

QIN Li, YANG Ming, GUO Qing. Moving-mass attitude control system based on RBF networks[J]. 2007, 22(7). DOI：

摘要

研究了三轴稳定质量矩导弹姿态控制问题.建立了内部带有3个可移动滑块的数学模型.利用RBF(radial basis function)网络的快速自学习、自适应特性

作为被控对象的模型

不断调整PID控制器的参数

协调控制滑块位置

从而改变导弹的飞行姿态.最后讨论了滑块运动特性对系统性能的影响并对系统稳定性进行了分析.仿真结果表明该控制律在保证系统稳定的情况下有效地实现导弹的姿态调整

并且提高了系统的动态响应品质.

Abstract

The ability of moving-mass attitude control system to control a vehicle with three-axial stabilization in intra-atmospheric space is investigated.And general nonlinear motion equations with three internal moving masses are provided.Utilizing on the fast self-learning and adaptive capacities of RBF(radial basis function) networks

use them as the identification of the object under control to tune the PID(proportional integral differential) controller's parameters.The masses are positioned independently to generate modest attitude corrections for the vehicle.Finally

the influence of moving masses' motion on the system performance is discussed and the system stability is analyzed.Simulation results show that the system stabilization can be ensured while effective attitude adjustment for the vehicle is effected and at the same time the system's dynamic performances are improved.

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Related Institution

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