Adaptive Time-Domain Harmonic Control for Noise-Vibration-Harshness Reduction of Electric Drives

TL;DR

This paper introduces an adaptive time-domain harmonic control method integrated into electric drive systems to effectively reduce noise, vibration, and harshness, ensuring improved performance and user satisfaction in applications like electric vehicles.

Contribution

It proposes a novel adaptive harmonic control approach with reduced computational complexity, suitable for real-time embedded implementation in electric drives.

Findings

Significant NVH reduction demonstrated in simulations and experiments

Robust control performance under fast operating-point changes

Efficient parameter estimation enabling real-time application

Abstract

Reducing Noise, Vibration, and Harshness (NVH) in electric drives is crucial for applications such as electric vehicle drivetrains and heat-pump compressors, where strict NVH requirements directly affect user satisfaction and component longevity. This work presents the integration of an adaptive time-domain harmonic controller into an existing electric-drive control loop to attenuate harmonic disturbances. Three control structures are proposed and analyzed, along with a modified parameter-estimation scheme that reduces computational effort while preserving estimation accuracy, making the method suitable for embedded real-time implementation. To cope with fast operating-point changes, a delta-learning approach combines adaptive control with a lookup-table-based feedforward estimator, ensuring fast convergence and robustness. The proposed controller architectures are validated through simulation and testbench experiments on a permanent-magnet synchronous machine drive, demonstrating substantial NVH reductions across operating conditions. The results confirm that time-domain adaptive harmonic control offers a practical and theoretically grounded solution for real-time NVH mitigation in electric drives.