Robust Input Shaping Control for Flexible Structures Based on Unscented Kalman Filter
Weiyi Yang, Yu Yuan, Mingsheng Shang

TL;DR
This paper presents a novel unscented Kalman filter-based zero vibration derivative input shaping method that enhances vibration suppression in flexible structures, demonstrating significant improvements through experimental validation.
Contribution
It introduces a data-driven UZK filter combined with ZVD input shaper for robust vibration control, addressing parameter inaccuracies and environmental disturbances.
Findings
Significant vibration reduction in flexible beam experiments
Improved robustness over traditional input shaping methods
Public availability of experimental datasets
Abstract
With the rapid development of industrial automation and smart manufacturing, the control of flexible structures and underactuated systems has become a critical research focus. Residual vibrations in these systems not only degrade operational efficiency but also pose risks to structural integrity and longevity. Traditional input shaping techniques, while effective, often suffer from performance degradation due to parameter inaccuracies and environmental disturbances. To address these challenges, this paper introduces an innovative unscented Kalman filter-based zero vibration derivative input shaping (UZS) method. The proposed approach combines two key innovations: 1) a data-driven Unscented Kalman Filterfor real-time system parameter identification, and 2) a zero-vibration derivative (ZVD) input shaper for robust vibration suppression. To validate the effectiveness of UZS, we conducted…
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Taxonomy
TopicsDynamics and Control of Mechanical Systems · Aeroelasticity and Vibration Control · Adaptive Control of Nonlinear Systems
