文章基本信息

标题：Bayesian Optimization Approach to Input Shaper Design for Flexible Beam Vibration Suppression a
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作者：Zsolt Pásztori ; Fabio Ruggiero ; Vincenzo Lippiello 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：9150-9156
DOI：10.1016/j.ifacol.2020.12.2159
语种：English
出版社：Elsevier
摘要：AbstractThis paper tackles the problem of suppressing vibrations of a flexible beam mounted on a mobile robot for inspection purposes. The adopted approach is an input shaper design along with Bayesian optimization. The latter methodology is employed to find out the optimal shaping parameter, taking into account non-ideal behaviors as controller hysteresis and time delays. Experimental results bolster the performance of the proposed approach.
关键词：Keywordsflexible beamvibration suppressionBayesian optimizationinput shapingfeedforward controladaptive control