EPE 2020 - LS1e: Acoustics & Vibration in Drives | ||
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![]() | Auto-commissioning of Acoustic Control of IM Drive using Bayesian Optimization
By Michal KRONEISL | |
Abstract: Recently proposed model predictive acoustic control of an AC drive relies on availability of the transfer function from the drive current to acoustic pressure. Since such model is typically not available, we propose to consider its parameters to be unknown and use methods of Bayesian optimization to find them. Specifically, we define a acoustic control performance criterion and optimize it in an additional outer loop. A microphone is necessary in this operation to provide feedback for tuning of the parameters used in model predictive drive control algorithm. However, the microphone is removed after the tuning. Since single evaluation of the performance criteria is time consuming, we choose the Bayesian Optimization that is able to find optimal tuning with very few evaluations.
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![]() | Compensation of the Radial and Circumferential Mode 0 Vibration of a Permanent Magnet Electric Machine based on an Experimental Characterisation
By Jan ANDRESEN | |
Abstract: This paper presents an approach how to compensate radial and circumferential mode 0 vibrations based on harmonic currents. First, the influence of harmonic currents and the mechanic transfer function are identified. Using these results, harmonic currents are derived which compensate the pre-existing vibrations.
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![]() | Torque ripple reduction technique for a switched reluctance motor
By Krzysztof JACKIEWICZ | |
Abstract: One of the main problems of switched reluctance motor are torque ripple, vibrations and high acousticnoise which decrease user comfort and cause faster machine and drive system wear out. In this paper anew approach for torque ripple minimization is presented, which is based on modified multi-oscillatorycontroller.
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