Study on vibration extraction and control characteristics of the high speed spindle online dynamic

Abstract

In order to solve the mechanical spindle low processing accuracy and precision elements problems which were caused by high speed spindle noise and vibration, a robust and reliable vibration extraction and control scheme of mechanical spindle was proposed. Based on the electromagnetic balancing system and by applying LabV1EW visual instrument, high speed spindle noise reduction and vibration signals filtering were pre- processed and vibration signals sampling, quantization, interception were post-processed. Base frequency vibration signals amplitude and phase were extracted by using different signal extraction methods. Through experiment verification and comparative analysis, the optimal vibration signal amplitude and phase extraction method was selected. By using the influence coefficient method, the influential factors including spindle speed, trial weights magnitude and phase were analysed. The high speed spindle unbalance was calculated and compensated. The high speed spindle electromagnetic balancing device block was controlled accurately. Experimental results showed that the vibration amplitude of the mechanical spindle was obviously reduced and the balance efficiency was greatly improved. The influence coefficient method and the electromagnetic balancing system took an active role in the process of dynamic balancing regulation. Such achievements enriched online dynamic balancing theory and promoted the relevant control technique developments.