Abstract

Milling vibration is one of the most serious factors affecting machining quality and precision. In this paper a novel hybrid error criterion-based frequency-domain LMS active control method is constructed and used for vibration suppression of milling processes by piezoelectric actuators and sensors, in which only one Fast Fourier Transform (FFT) is used and no Inverse Fast Fourier Transform (IFFT) is involved. The correction formulas are derived by a steepest descent procedure and the control parameters are analyzed and optimized. Then, a novel hybrid error criterion is constructed to improve the adaptability, reliability and anti-interference ability of the constructed control algorithm. Finally, based on piezoelectric actuators and acceleration sensors, a simulation of a spindle and a milling process experiment are presented to verify the proposed method. Besides, a protection program is added in the control flow to enhance the reliability of the control method in applications. The simulation and experiment results indicate that the proposed method is an effective and reliable way for on-line vibration suppression, and the machining quality can be obviously improved.

Highlights

  • With the development of manufacturing application requirements, machining quality and precision are more critically required nowadays

  • Kayhan et al compared the machining quality between two components, in which the quality of one component is seriously reduced by chatter vibration [1]

  • Second,presented the proposed criterion canInenhance the adaptability ability of frequency node amplitude, if the global frequency error is alone taken as the error criterion, which the presented active control method

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Summary

A Novel Hybrid Error Criterion-Based Active Control

Method for on-Line Milling Vibration Suppression with Piezoelectric Actuators and Sensors.

Introduction
Control Algorithm Design
Control Scheme
Error Criterion
Simulation and Experimental Verification
Spindle Based Simulation
Milling
Set-up the milling
Findings
Conclusions
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