RV Reducer Torque Signal Denoising Research Based VMD

Abstract

The RV reducer is a core component in industrial robots, but its performance is facing higher demands due to the expanding application scenarios. Accurately obtaining the torque signal is crucial for achieving precise control of the RV reducer, as torque is an important performance indicator. In this paper, a VMD-based noise reduction method for RV reducer torque signals is proposed, in which the VMD algorithm is used to decompose the original signal, and the IMFs are selected for signal reconstruction by fusing the correlation index and sample entropy. Experimental results show that the proposed method achieves higher SNR and lower MSE after noise reduction, demonstrating its effectiveness. This method provides a foundation for the precise control of RV reducers.