Study on 6-DOF active vibration-isolation system of the ultra-precision turning lathe based on GA-BP-PID control for dynamic loads

Bo Wang, Zhong Jiang, Pei-Da Hu

Advances in Manufacturing ›› 2024, Vol. 12 ›› Issue (1) : 33-60.

Advances in Manufacturing ›› 2024, Vol. 12 ›› Issue (1) : 33-60. DOI: 10.1007/s40436-023-00463-z
Article

Study on 6-DOF active vibration-isolation system of the ultra-precision turning lathe based on GA-BP-PID control for dynamic loads

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Abstract

The vibration disturbance from an external environment affects the machining accuracy of ultra-precision machining equipment. Most active vibration-isolation systems (AVIS) have been developed based on static loads. When a vibration-isolation load changes dynamically during ultra-precision turning lathe machining, the system parameters change, and the efficiency of the active vibration-isolation system based on the traditional control strategy deteriorates. To solve this problem, this paper proposes a vibration-isolation control strategy based on a genetic algorithm-back propagation neural network-PID control (GA-BP-PID), which can automatically adjust the control parameters according to the machining conditions. Vibration-isolation simulations and experiments based on passive vibration isolation, a PID algorithm, and the GA-BP-PID algorithm under dynamic load machining conditions were conducted. The experimental results demonstrated that the active vibration-isolation control strategy designed in this study could effectively attenuate vibration disturbances in the external environment under dynamic load conditions. This design is reasonable and feasible.

Keywords

Ultra-precision diamond turning lathe / Active vibration isolation / Six degrees of freedom / Dynamic load / Genetic algorithm-back propagation neural network-PID (GA-BP-PID) control

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Bo Wang, Zhong Jiang, Pei-Da Hu. Study on 6-DOF active vibration-isolation system of the ultra-precision turning lathe based on GA-BP-PID control for dynamic loads. Advances in Manufacturing, 2024, 12(1): 33‒60 https://doi.org/10.1007/s40436-023-00463-z

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Funding
National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809(52105490)

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