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EFFECT OF SENSOR FAILURE ON DYNAMOMETRY CALIBRATION

机译:传感器故障对动力测量校准的影响

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Dynamometers are used to measure integrated fluid dynamic loads such as thrust, torque or side forces. To resolve all of three force and three moment components, multiple embedded force gages are often used. Due to arrangement, static loads, and redundancy, the number of sensor channels can exceed the six degrees of freedom needed to resolve the generalized rigid body forces. This paper considers modeling of the force gages as simple springs to develop an elastic model of the dynamometer. The method was applied to a dynamometer consisting of six three-component force gages arranged in an axisymmetric ring. A calibration matrix based on the elastic model with individual force gage sensitivities was shown to match a full calibration matrix where properly summed force gage voltages were obtained under global load application. The elastic model was then extended to consider calibration matrices where sensors were assumed to fail. In this scenario, several virtual loads were applied to the dynamometer and the calibration matrix was obtained by minimizing the least square error. It was found that nearly half of the sensors could be lost and still a virtual calibration could be applied to the measurements. Extending the least square idea, an actual in-situ calibration matrix was formed by striking the dynamometer with a diverse set of instrumented hammer strikes. This calibration matrix also agreed with the other calibrations at frequencies below where system dynamics become important.
机译:测量仪用于测量诸如推力,扭矩或侧力的集成流体动力载荷。为了解决三个力和三个时刻组件,通常使用多个嵌入的力计。由于布置,静电负载和冗余,传感器通道的数量可能超过解决广义刚体力所需的六个自由度。本文考虑了力量表的建模,作为简单的弹簧,以开发测功机的弹性模型。将该方法应用于由布置在轴对称环中的六个三组分力测量的测功机。基于具有单个力量计敏感性的弹性模型的校准矩阵被示出为匹配全校准矩阵,其中在全局负载应用下获得了适当求和的力量测量电压。然后扩展弹性模型以考虑假设传感器失败的校准矩阵。在这种情况下,将若干虚拟负载应用于测功机,通过最小化最小方误差来获得校准矩阵。发现,近一半的传感器可能会丢失,并且仍然可以将虚拟校准应用于测量值。扩展最小二乘思想,通过用多样化的仪器锤击撞击测功机来形成实际的原位校准矩阵。此校准矩阵还同意在下面的频率下的其他校准,其中系统动态变得重要。

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