Modares Mechanical Engineering

Modares Mechanical Engineering

On Multi-Criteria Optimization of DVAs in Vibration Control of 2-DOF Systems: Parsimonious FRF Shaping of DVAs via a Singular Criterion and Genetic Algorithm Optimization

Document Type : Original Article

Authors
Faculty of Mechanical Engineering, University of Kashan
10.48311/mme.2025.96920.0
Abstract
Conventional DVA optimization offers little direct control over shaping the frequency response, and weak parameter screening lets unnecessary variables persist, leading to over-parameterized designs. This paper presents a unique criterion (C_s) that integrates normalized, weighted objectives for peak positions, peak amplitudes, bandwidth, and other factors, incorporating a specific sparsity term that mitigates the inclusion of superfluous parameters. The framework is implemented in the DeVana software, which was developed by the authors, and it is utilized for a fully coupled 1DOF–1DOF benchmark that includes a designated avoidance band within the frequency range of 1000 to 2000 Hz for the purpose of conducting a case study. The optimized DVA divides the baseline resonance into two narrow peaks at the band edges and attenuates the in-band response, while the majority of ν parameters approach zero, leaving only a limited set of β, λ, and μ active. Convergence was achieved at an optimal fitness of 0.001206. This fitness is composed of 40.8% from C_s, 34.7% from the sparsity penalty, and 24.5% from the target-accuracy term. Overall, combining the design goals into a single, interpretable objective enables direct FRF targeting and streamlined DVA synthesis, delivering rapid, criteria-satisfying tuning with only the minimal set of screened parameters
Keywords
Subjects

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