Department of Robotics and Mechatronics, Faculty of Mechanical Engineering, Bialystok University of Technology, Wiejska St. 45C, 15-351 Bialystok, Poland.
Sensors (Basel). 2023 Jan 16;23(2):1048. doi: 10.3390/s23021048.
Failure detection of Unmanned Aerial Vehicle (UAV) motors and propulsion systems is the most important step in the implementation of active fault-tolerant control systems. This will increase the reliability of unmanned systems and increase the level of safety, especially in civil and commercial applications. The following paper presents a method of motor failure detection in the multirotor UAV using piezo bars. The results of a real flight, in which the failure of the propulsion system caused the crash of a hybrid VTOL UAV, were presented and analyzed. The conclusions drawn from this flight led to the development of a lightweight, simple and reliable sensor that can detect a failure of the UAV propulsion system. The article presents the outcomes of laboratory tests concerning measurements made with a piezo sensor. An extensive analysis of the obtained results of vibrations recorded on a flying platform arm with a propulsion system is presented, and a methodology for using this type of data to detect failures is proposed. The article presents the possibility of using a piezoelectric sensor to record vibrations on the basis of which it is possible to detect a failure of the UAV propulsion system.
无人机(UAV)电机和推进系统的故障检测是实施主动容错控制系统的最重要步骤。这将提高无人系统的可靠性,并提高安全性水平,特别是在民用和商业应用中。本文提出了一种使用压电棒检测多旋翼无人机电机故障的方法。介绍并分析了在一架混合动力垂直起降(VTOL)无人机的推进系统故障导致其坠毁的真实飞行中的结果。从这次飞行中得出的结论导致开发了一种重量轻、简单可靠的传感器,可以检测到无人机推进系统的故障。本文介绍了与使用压电传感器进行的测量相关的实验室测试结果。对在带有推进系统的飞行平台臂上记录的振动的获得结果进行了广泛的分析,并提出了使用这种类型的数据来检测故障的方法。本文提出了使用压电传感器记录振动的可能性,根据这些振动可以检测到无人机推进系统的故障。