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

IF 4.2 2区 工程技术 Q2 ENGINEERING, MANUFACTURING Advances in Manufacturing Pub Date : 2023-11-01 DOI:10.1007/s40436-023-00463-z
Bo Wang, Zhong Jiang, Pei-Da Hu
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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.

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基于 GA-BP-PID 动态负载控制的超精密车床 6-DOF 主动减振系统研究
来自外部环境的振动干扰会影响超精密加工设备的加工精度。大多数主动隔振系统(AVIS)都是基于静态负载开发的。在超精密车床加工过程中,当隔振载荷发生动态变化时,系统参数会发生变化,基于传统控制策略的主动隔振系统的效率会下降。为解决这一问题,本文提出了一种基于遗传算法-后向传播神经网络-PID 控制(GA-BP-PID)的减隔震控制策略,可根据加工条件自动调整控制参数。在动态载荷加工条件下,基于被动隔振、PID 算法和 GA-BP-PID 算法进行了隔振模拟和实验。实验结果表明,本研究中设计的主动隔振控制策略可以在动态负载条件下有效减弱外部环境的振动干扰。该设计合理可行。
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来源期刊
Advances in Manufacturing
Advances in Manufacturing Materials Science-Polymers and Plastics
CiteScore
9.10
自引率
3.80%
发文量
274
期刊介绍: As an innovative, fundamental and scientific journal, Advances in Manufacturing aims to describe the latest regional and global research results and forefront developments in advanced manufacturing field. As such, it serves as an international platform for academic exchange between experts, scholars and researchers in this field. All articles in Advances in Manufacturing are peer reviewed. Respected scholars from the fields of advanced manufacturing fields will be invited to write some comments. We also encourage and give priority to research papers that have made major breakthroughs or innovations in the fundamental theory. The targeted fields include: manufacturing automation, mechatronics and robotics, precision manufacturing and control, micro-nano-manufacturing, green manufacturing, design in manufacturing, metallic and nonmetallic materials in manufacturing, metallurgical process, etc. The forms of articles include (but not limited to): academic articles, research reports, and general reviews.
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