• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >Ll neural network adaptive fault-tolerant controller for unmanned aerial vehicle attitude control system
【24h】

Ll neural network adaptive fault-tolerant controller for unmanned aerial vehicle attitude control system

机译：LL神经网络自适应容错控制器，用于无人驾驶飞行器姿态控制系统

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this article, a L1 neural network adaptive fault-tolerant controller is exploited for an unmanned aerial vehicle attitude control system in presence of nonlinear uncertainties, such as system uncertainties, external disturbances, and actuator faults. A nonlinear dynamic inversion controller with sliding mode control law is designed as the outer-loop controller to track the attitude angles quickly and accurately which reduces dependence on model accuracy. A L1 neural network adaptive controller of the inner loop is introduced to compensate the nonlinear uncertainties and have a good attitude tracking. The radial basis function neural network technique is introduced to approximate a lumped nonlinear uncertainty and guarantee the stability and transient performance of the closed-loop system, instead of converting it to a half-time linear system by the parametric linearization method. Simulation results demonstrate the effectiveness of the proposed controller.
机译：在本文中，在非线性不确定性的存在下，利用L1神经网络自适应容错控制器，例如系统不确定性，外部干扰和执行器故障。 具有滑动模式控制规律的非线性动态反转控制器设计为外环控制器，以快速准确地跟踪姿态角度，这减少了模型精度的依赖性。 引入了内环的L1神经网络自适应控制器以补偿非线性的不确定性并具有良好的态度跟踪。 引入径向基函数神经网络技术以近似集体非线性不确定性，并保证闭环系统的稳定性和瞬态性能，而不是通过参数线性化方法将其转换为半时间线性系统。 仿真结果证明了所提出的控制器的有效性。

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