@article {Yao:2016:0736-2935:161,
title = "Recursive Least Square Algorithm-Based Acceleration Harmonics Identification for an Electro- hydraulic Shaking Table",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2016",
volume = "253",
number = "8",
publication date ="2016-08-21T00:00:00",
pages = "161-172",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2016/00000253/00000008/art00019",
author = "Yao, Jianjun and Niu, Qingtao and Chen, Shuo and Wang, Tao and Wan, Zhenshuai",
abstract = "Hydraulic shaking tables are important mechanical environmental simulators for such fields as aerospace, nuclear industry, automobile and civil engineering to measure the specimen's reliability under vibration condition. Sinusoidal shaking tests are widely used in practical applications,
but its acceleration response usually contains higher harmonics, due to the nonlinearities in the system. The harmonic distortion lowers the system control performance. A harmonic identification scheme is thus developed by utilizing a transversal filter based on recursive least square method
to provide harmonic information for further harmonic cancellation. The weight vector of the filter is updated by incrementing its old value by an amount equal to the product of the estimation error and the gain vector. The amplitude and phase of each harmonic including the fundamental response
are then directly computed from the time-varying weight vector. The harmonics are also synthesized from the identified amplitudes and phases. Experimentations performed on an electro-hydraulic shaking table are carried out to validate its efficiency and accuracy.",
}