Power-Flow-Based Stabilization for Adaptive Feedforward Filters in Hybrid Testing

Power-Flow-Based Stabilization for Adaptive Feedforward Filters in Hybrid Testing
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混合测试中自适应前馈滤波器的基于功率流的稳定

DOI:
10.1007/s40799-020-00377-6
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发表时间:
2020
影响因子:
1.6
通讯作者:
Bartl A
Bartl A
中科院分区:
工程技术4区
文献类型:
--
作者:
Bartl A

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实时混合测试是一种允许耦合仿真和组件测试以模拟复杂系统动态的技术。在许多情况下,由致动器动态和信号处理引起的延迟和时间滞后使测试的稳定性恶化。自适应前馈滤波器的混合测试的应用,使规避这个问题。然而,滤波器本身的稳定性会受到算法参数的选择或被测系统动态变化的影响。测试安全要求和实际考虑需要故障安全实现。在本文中,我们提出了一种方法来调整的自适应前馈滤波器的参数的基础上的功率流的测试装置。目的是保持致动和控制系统的被动行为。稳定作用于泄漏因子和最小均方自适应律的自适应增益。一个简单的数值系统被用来研究算法参数对稳定性的影响。该方法被施加到一个实验装置,包括一个非线性刚度。几个原本不稳定的配置被稳定化,适应过程可以继续,并且在所有测试用例中实现了接口同步。
Real-time hybrid testing is a technology which allows the coupling of simulations and component tests in order to simulate complex system dynamics. Delays and time lags caused by actuator dynamics and signal processing deteriorate the stability of the tests in many cases. The application of adaptive feedforward filters to hybrid testing enables circumventing this problem. The stability of the filter itself, however, can be affected by the choice of the algorithm parameters or changes in dynamics of the system being tested. Test safety requirements and practical considerations require a failsafe implementation. In this paper, we propose a method for adjusting the parameters of the adaptive feedforward filter based on power-flows in the test setup. The objective is to maintain a passive behavior of the actuation and control system. The stabilization acts on the leakage factor and the adaptation gain of a least-mean-squares adaptation law. A simple numerical system is used to investigate the effect of the algorithm parameters on the stabilization. The method was applied to an experimental setup including a nonlinear stiffness. Several originally unstable configurations were stabilized, the adaptation process could be continued and interface synchronization was achieved in all test cases.
一种可变泄漏LMS自适应算法
DOI: --
发表时间: 2004
期刊: Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004.
影响因子: --
作者:
Max Kamenetsky;Bernard Widrow
通讯作者: Bernard Widrow
DOI: 10.1109/control.2018.8516814
发表时间: 2018-09
期刊: 2018 UKACC 12th International Conference on Control (CONTROL)
影响因子: --
作者:
L. D. Hashan Peiris;A. Plummer;J. D. du Bois
通讯作者: L. D. Hashan Peiris;A. Plummer;J. D. du Bois
DOI: --
发表时间: 1999
期刊:
影响因子: --
作者:
J. Bras
通讯作者: J. Bras