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

被引:8
作者
Wang, Bo [1 ]
Jiang, Zhong [2 ]
Hu, Pei-Da [1 ]
机构
[1] Tsinghua Univ, Dept Precis Instrument, Beijing 100084, Peoples R China
[2] China Acad Engn Phys, Inst Machinery Mfg Technol, Mianyang 621900, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
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; IDENTIFICATION;
D O I
10.1007/s40436-023-00463-z
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:33 / 60
页数:28
相关论文
共 31 条
[1]  
Ab Rahim S, 2019, 2019 IEEE 10TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM (ICSGRC), P189, DOI [10.1109/ICSGRC.2019.8837053, 10.1109/icsgrc.2019.8837053]
[2]   X-shaped mechanism based enhanced tunable QZS property for passive vibration isolation [J].
Chai, Yuyang ;
Jing, Xingjian ;
Chao, Xu .
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2022, 218
[3]   Vibration suppression with electromagnetic hybrid vibration isolators [J].
Chen, Fan .
9TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MANUFACTURING (ICMM 2018), 2018, 361
[4]   Research on UAV Flight Tracking Control Based on Genetic Algorithm Optimization and Improved bp Neural Network pid Control [J].
Chen, Yuepeng ;
Liu, Songran ;
Xiong, Chang ;
Zhu, Yufeng ;
Wang, Jiaheng .
2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, :726-731
[5]   Theoretical and experimental investigation on the surface stripes formation in ultra-precision fly cutting machining [J].
Ding, Yuanyuan ;
Rui, Xiaoting ;
Chen, Yiheng ;
Lu, Hanjing ;
Chang, Yu ;
Wei, Wei .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 124 (3-4) :1041-1063
[6]   Training of the feed forward artificial neural networks using dragonfly algorithm [J].
Gulcu, Saban .
APPLIED SOFT COMPUTING, 2022, 124
[7]   Modeling identification and control of a 6-DOF active vibration isolation system driving by voice coil motors with a Halbach array magnet [J].
Jiang, Dawei ;
Li, Jiasheng ;
Li, Xingzhan ;
Deng, Chaodong ;
Liu, Pinkuan .
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2020, 34 (02) :617-630
[8]   Active control of high-frequency tool-workpiece vibration in micro-grinding [J].
Jiang, Xiaohui ;
Guo, Miaoxian ;
Li, Beizhi .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 94 (1-4) :1429-1439
[9]  
Kheiri Sarabi B, 2018, COMPUTATIONAL SIGNAL, V490, DOI [10.1007/978-981-10-8354-9_15, DOI 10.1007/978-981-10-8354-9_15]
[10]   Control of a hybrid active-passive vibration isolation system [J].
Lee, Jin Ho ;
Kim, Hyo Young ;
Kim, Ki Hyun ;
Kim, Myeong Hyeon ;
Lee, Seok Woo .
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2017, 31 (12) :5711-5719