Year: 2025
Type: article
Abstract: Active noise control (ANC) in vibrating structures often suffers performance degradation under uncertain excitation and parameter drift. This study introduces an interval Type-2 fuzzy logic controller (IT2 FLC) for adaptive ANC in multi-mode systems, explicitly modelling “uncertainty about uncertainty” via a footprint of uncertainty in the fuzzy rule base. A two-degree-of-freedom mass–spring–damper model is used to represent structural dynamics, and both broadband and tonal disturbances are simulated. The IT2 FLC adapts its membership-function bounds online based on error variance, yielding a robust control law that compensates for up to ±25% drift in mass and stiffness. Controller performance is evaluated in MATLAB/Simulink and on a dSPACE DS1104 rapid-prototyping platform interfaced with a physical beam rig. Compared to classical ANC methods such as least-mean-square filtering and H∞ control, as well as Type-1 fuzzy logic, the proposed interval Type-2 fuzzy logic controller (IT2 FLC) consistently demonstrates superior performance. It achieves up to 28 dB broadband attenuation under nominal conditions and sustains over 23 dB even under ±25% structural parameter drift, significantly outperforming other benchmarks. The controller exhibits fast convergence (≤ 0.35 s) and maintains real-time feasibility with ≤ 25% CPU utilization at a 1 kHz update rate on standard DSP hardware. A hardware-in-the-loop implementation on a physical cantilever beam rig confirms robustness and stability. These results validate the IT2 FLC as a computationally efficient, highly adaptive, and cost-effective solution for industrial noise control applications in uncertain environments.
Source: Sound&Vibration
DOI: 10.59400/sv3478
Authors: N. Yogeesh, N. Raja, Asokan Vasudevan, H. C. Shashikumar, P. C. Jayaprakasha
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7077077978