WANG Linkang, YOU Jingjing, QIU Xin, et al. Fault self-diagnosis and self-repair algorithm for parallel type six-axis acceleration sensor[J]. 2019, (12): 128-132.
WANG Linkang, YOU Jingjing, QIU Xin, et al. Fault self-diagnosis and self-repair algorithm for parallel type six-axis acceleration sensor[J]. 2019, (12): 128-132. DOI: 10.13873/j.1000-9787(2019)12-0128-05.
并联式六维加速度传感器的故障自诊断、自修复算法
摘要
针对并联式六维加速度传感器的部分输出信号出现干扰失真时
系统解耦算法会完全失效的问题
提出了一种适用于多维传感器的故障自诊断、自修复算法。通过挖掘传感器弹性体拓扑构型中的变形协调条件
推导了系统的6个力协调方程
据此构造了正多边形结构的、关于过渡参量的理想协调闭链。通过分析协调闭链对力协调方程的约束关系
给出传感器故障的诊断组
建立了传感器故障自诊断、自修复算法。通过定义故障自修复率指标
对可修复工况进行统计计算
得到本算法能够实现的最高修复率为72. 62%。另外
当传感器支链故障概率小于22%时
样机试验结果表明:局部支链出现故障后
重构系统的综合解耦误差不超过0. 18%
验证了该方案的可行性。
Abstract
Aiming at the problem that when some of the output signals of the parallel six-axis acceleration sensor occur interference distortion
system decoupling algorithm will completely fail
a fault self-diagnosis and self-repair algorithm suitable for multi-dimensional sensors is proposed. The six force coordination equations of the system are derived by excavating the deformation coordination conditions in the topological configuration of the sensor elastomer. According to this
an ideal coordinated closed chain of a regular polygonal structure with respect to the transition parameters is constructed. The sensor fault diagnosis group is given by analyzing the constraint relationship of the closed chain to the force coordination equation
and the sensor fault self-diagnosis and selfrepair algorithm are established. By defining the fault self-repair rate indicator and statistically calculating the repairable condition
the highest repair rate that the algorithm can achieve is 72. 62 %. In addition
when the sensor branch failure probability is less than 22 %. The prototype test results show that the comprehensive decoupling error of the reconstruction system does not exceed 0. 18 % after the failure of the local branch