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Shape-constrained Input Estimation for Efficient Multi-shaker Vibration Testing

机译:高效多振动筛振动测试的形状约束的输入估计

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摘要

Multi-shaker vibration testing is gaining interest from structural dynamics test engineers as it can provide a much more accurate match to complicated field vibration responses than traditional single-axis shaker tests. However, the force capabilities of the small modal shakers typically used in multi-shaker vibration tests has limited the achievable response levels. To date, most multi-shaker vibration tests have been performed using a variety of standard, commercially-available control systems. While these control systems are adequate for a wide range of multiple-input/multiple-output tests, their control algorithms have not been tailored for the specific problem of multi-shaker vibration tests: efficiently coordinating the various shakers to work together to achieve a desired response. Here, a new input estimation algorithm is developed and demonstrated using simulations and actual test data. This algorithm, dubbed shape-constrained input estimation, is shown to effectively coordinate multiple shakers using a set of constraint vectors based on the deflection shapes of the test structure. This is accomplished by using the singular vector shapes of the system frequency response matrix, which allows the constraint vectors to automatically change as a function of frequency. Simulation and test results indicate a significant reduction in the input forces required to achieve a desired response. The results indicate that shape-constrained input estimation is an effective method to achieve higher response levels from limited shaker forces which will enable higher level multi-shaker vibration tests to be performed.
机译:多振动筛振动测试是从结构动态测试工程师获得兴趣,因为它可以提供比传统的单轴振动器测试更准确地匹配复杂的场振动响应。然而,通常用于多振荡器振动试验的小型模态振动器的力能力限制了可实现的响应水平。迄今为止,已经使用各种标准,商业可用的控制系统进行大多数多振动筛振动测试。虽然这些控制系统适用于各种多输入/多输出测试,但它们的控制算法尚未为多摇架振动测试的特定问题量身定制:有效地协调各种振动器一起工作以实现所需的回复。这里,使用模拟和实际测试数据开发并演示新的输入估计算法。该算法称为形状约束的输入估计,示出了基于测试结构的偏转形状,使用一组约束向量有效地坐标多个振动器。这是通过使用系统频率响应矩阵的奇异矢量形状来实现的,这允许约束向量随着频率的函数自动改变。模拟和测试结果表明达到所需响应所需的输入力的显着降低。结果表明,形状约束的输入估计是从有限振荡器力实现更高振荡器力的响应水平的有效方法,这将使能够进行更高水平的多振动器振动测试。

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