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Turning point based fatigue testing: Combining multisines with turning point replication

机译：基于转折点的疲劳测试：将多正弦与转折点复制相结合

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摘要

Time waveform replication (TWR) is commonly used as control strategy to impose a given force (or displacement) target during fatigue testing. TWR belongs to the class of (linear) Iterative Learning Control strategies, which in general works well for systems with an approximately linear behavior. Larger errors occur when the nonlinear effects are more pronounced. In this contribution the TWR approach will be revisited taking into account the fact that in many applications it is not necessary to exactly replicate the target signal. Only the so-called "turning points" of the force signal need to be correctly controlled. Indeed, the controlled force signal should have the same turning points as the target force signal; they do not have to be exactly equal to each other for all time samples. This relaxation of the problem formulation allows generating a controlled force signal that better converges to the turning points of the target force signal. To do so, an easy-to-implement algorithm will be proposed in this contribution based on the classical TWR algorithm. The second part of this contribution consists of the introduction of the application of multisines in fatigue testing to better use the bandwidth of the actuator. The multisines will be combined with the proposed algorithm and compared to the classical TWR algorithm by means of experimental fatigue tests performed on the airplane component.
机译：时间波形复制（TWR）通常用作控制策略，以在疲劳测试期间施加给定的力（或位移）目标。 TWR属于（线性）迭代学习控制策略的类别，通常对于具有近似线性行为的系统非常有效。当非线性效应更加明显时，会出现较大的误差。考虑到在许多应用中不必精确复制目标信号这一事实，将重新考虑TWR方法。仅需要正确控制力信号的所谓“转折点”。实际上，受控力信号应具有与目标力信号相同的转折点；对于所有时间样本，它们不必彼此完全相等。问题表述的这种放松使得可以生成受控的力信号，该信号可以更好地收敛到目标力信号的转折点。为此，将在经典TWR算法的基础上提出一种易于实现的算法。该贡献的第二部分包括在疲劳测试中引入多正弦波的应用，以更好地利用执行器的带宽。多正弦波将与提出的算法结合，并通过对飞机部件进行的实验疲劳测试与经典的TWR算法进行比较。

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