In the present work, we describe a low-cost implementation of an Active Noise Cancellation (ANC) system. The most interesting feature of our implementation is the use of general-purpose hardware, without the need of expensive and hard-to-program Digital Signal Processing (DSP) devices. In particular, the reference signals, collected with accelerometers properly placed on noise-generating parts and the error feedback signals are collected by means of an USB interface. All signal processing, aimed at primary path estimation and anti-noise audio signal generation, is performed using Simulink running on a commercial mini PC. The Exponential Sine Sweep (ESS) method is adopted for the measurement of the secondary path from the cancellation loudspeakers to the error microphones. An adaptive Filtered-X Least Mean Square (LMS) algorithm determines the anti-noise audio signal to be emitted. The system has been installed and tested on a commercial agricultural tractor cabin mounted over electromagnetic shakers to emulate realistic operating conditions. Two error microphones are attached to the headrest, close to the driver's ears. The resulting ANC system relies on the use of very small buffers (for audio/accelerometric data), with a latency comparable to that of more complex and expensive specific DSP systems used in this kind of applications. In terms of acoustic performance, a significant reduction of annoying peaks in the 200-500 Hz range and a broadband noise reduction at lower frequencies are observed, thus improving the overall sound quality experience. In conclusion, the implementation of an effective ANC system, employing common audio devices and a relatively simple Simulink program, was obtained. This paves the way to straightforward experimentation (in Matlab/Simulink) of new ANC processing algorithms, allowing direct testing of simulation-based solutions, without the need of porting them to a proprietary DSP-based platform.

Numerical simulations are increasingly employed in the automotive industry to optimize the design stage, reduce prototype testing, and shorten the time to market. The aim of the presented research is the development of a fast and reliable method for the prediction of the sound field generated outside a vehicle by vibrating panels under electromagnetic shaker excitation. Despite that multi-physics numerical simulation software already link mechanical vibrations to their acoustic effect, they show a drawback when calculating the exterior sound field produced by a vibrating panel: the presence of a car model to separate front and rear radiations avoiding the acoustic short circuit, and an air volume surrounding it are required, thus increasing the model complexity and calculation time. Both problems can be overcome with the presented methodology: only the mechanical vibration of the panel is solved numerically, and the radiated sound field is then calculated postprocessing, relying on Rayleigh’s integral. At first, the method’s validation is presented through laboratory experiments; then, a real vehicle panel is analyzed. Comparisons between the finite element method (FEM) simulations and experimental measurements showed very good agreement while keeping the calculation time low for both the laboratory and on-vehicle tests.

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