Sensor fusion based vibration estimation using inertial sensors for a complex lightweight structure

P. Kaswekar, Jörg F. Wagner
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引用次数: 2

Abstract

Flexible structures with spatially distributed accelerometers are a central feature of the “experimental modal analysis” serving to characterize the vibration properties of elastic mechanical systems. In contrast to this frequency based offline procedure, real-time tasks like motion control or health monitoring of such structures typically rely little on correspondingly spread inertial sensors. However, to improve approaches for motion control or health monitoring, a sophisticated measurement of the structural movement using distributed accelerometers and additionally gyros offers itself. On the other hand, the aspect of providing a good motion estimate by using only a limited number of sensor signals should also not be disregarded. It is well known that combining different types of sensors in order to take advantage of the complimentary characteristics of each sensing element is the basis of integrated navigation systems. It is called sensor fusion. Such a system can be established in general as a state observer design; and in navigation it determines the spatial motion of just a rigid body. However, extending such integrated systems to flexible structures using distributed structural sensors is possible, which was already proven for one dimensional continuums, i.e. a flexible beam. For more complicated structures, the theory needs to be extended to three dimensions. All such systems can be generalized as an integrated motion measurement. As a typical example, this paper presents an integrated motion measurement approach for the realtime estimation of the critical telescope vibrations of the Stratospheric Observatory for Infrared Astronomy (SOFIA). This application is important as the optical performance of SOFIA is affected by telescope oscillations being induced by aero acoustic disturbances. Distributed inertial sensors are used to obtain motion signals, which are additionally aided by strain gauges. The sensor fusion approach being developed here consists of a continuous-discrete extended Kalman filter. Besides the sensor signals to be fused, the filter requires a suitable kinematical model, which in turn determines the mechanical meaning of all measurements. The kinematic model is based on a reduced modal approach, i.e. a description of the telescope by vibration modes having high contribution to the optical quality at the focal plane of the astronomical instruments. To realize such an integrated measurement system, there are no mass and stiffness properties of the structure required. However, the approximate knowledge of the modal properties of the structure is necessary for the implementation of this method. Therefore, a finite element model of the telescope was chosen as a basis to extract such modal properties. In addition, the finite element model was employed to determine the appropriate number, position and orientation of the gyros, accelerometers and strain gages. Simulation results demonstrate the potential of the approach and its feasibility for complex lightweight structures.
基于惯性传感器融合的复杂轻量化结构振动估计
具有空间分布加速度计的柔性结构是“实验模态分析”的中心特征,用于表征弹性机械系统的振动特性。与这种基于频率的离线过程相反,此类结构的运动控制或健康监测等实时任务通常很少依赖于相应的扩展惯性传感器。然而,为了改进运动控制或健康监测的方法,使用分布式加速度计和附加陀螺仪对结构运动进行复杂的测量。另一方面,仅使用有限数量的传感器信号提供良好运动估计的方面也不应忽视。众所周知,将不同类型的传感器组合起来以利用每个传感元件的互补特性是组合导航系统的基础。这被称为传感器融合。这样的系统一般可以建立为状态观测器设计;在导航中,它决定了刚体的空间运动。然而,使用分布式结构传感器将这种集成系统扩展到柔性结构是可能的,这已经被证明适用于一维连续体,即柔性梁。对于更复杂的结构,该理论需要扩展到三维空间。所有这些系统都可以概括为一个综合运动测量。以平流层红外天文观测台(SOFIA)为例,提出了一种实时估计望远镜临界振动的综合运动测量方法。这一应用是重要的,因为SOFIA的光学性能受到空气声干扰引起的望远镜振荡的影响。分布式惯性传感器用于获取运动信号,并辅以应变片。本文开发的传感器融合方法由一个连续离散扩展卡尔曼滤波器组成。除了要融合的传感器信号外,滤波器还需要一个合适的运动学模型,这反过来又决定了所有测量的机械意义。运动学模型基于降模态方法,即用对天文仪器焦平面光学质量贡献较大的振动模态来描述望远镜。为了实现这样一个集成的测量系统,不需要结构的质量和刚度特性。然而,对于该方法的实现,结构模态特性的近似知识是必要的。因此,选取望远镜的有限元模型作为提取模态特性的基础。此外,采用有限元模型确定了陀螺仪、加速度计和应变片的合适数量、位置和方向。仿真结果表明了该方法的潜力和对复杂轻量化结构的可行性。
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