首页> 外文会议>IEEE International Conference on Mechatronics >Sensor Fault Detection in Small Autonomous Helicopters using Observer/Kalman Filter Identification
【24h】

Sensor Fault Detection in Small Autonomous Helicopters using Observer/Kalman Filter Identification

机译:使用观察者/卡尔曼滤波器识别的小型自动直升机传感器故障检测

获取原文

摘要

This paper presents a sensor fault detection and diagnosis system for small autonomous helicopters. Fault detection is accomplished by evaluating any significant change in the behaviour of the vehicle with respect to the fault-free behaviour, which is estimated by using an observer. The observer is obtained from input-output experimental data with the observer/Kalman filter identification method. The system is tested with real helicopter flight data.
机译:本文介绍了小型自动直升机的传感器故障检测和诊断系统。通过评估车辆的行为关于无故障行为的任何显着变化来实现故障检测,这通过使用观察者估计。使用观察者/卡尔曼滤波器识别方法从输入输出实验数据获得观察者。该系统用真正的直升机飞行数据进行了测试。

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