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

doi:10.1007/s40436-023-00463-z

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

• • 上一篇

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

Bo Wang¹, Zhong Jiang², Pei-Da Hu¹

1. Department of Precision Instrument, Tsinghua University, Beijing, 100084, People's Republic of China;
2. Institute of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mianyang, 621900, Sichuan, People's Republic of China

收稿日期:2023-02-09 修回日期:2023-05-02 发布日期:2024-03-14
通讯作者: Zhong Jiang,E-mail:jiangzhong1989@163.com E-mail:jiangzhong1989@163.com
作者简介:Bo Wang received B.S. degree in Instrument and Meter Engineering from Harbin Institute of Technology in 2020. Now, he is currently a M.S. at Tsinghua University. His current research interests include the active vibration isolation technology for ultra-precision instruments and equipment;
Zhong Jiang received his PhD degree at the School of Mechatronics Engineering, University of Electronic Science and Technology of China in 2017. Now, he is an engineer in Institute of Machinery Manufacturing Technology, China Academy of Engineering Physics. His research interest is accuracy detection for CNC machine tool and the development of the ultraprecision machine tool;
Pei-Da Hu received a B.E. in Mechanical Design and Automation from China University of Geosciences (Beijing) in 2003, a M.S. in Mechanical Design and Automation from Beijing Institute of Technology in 2006, and the Ph.D. in Instruments Science and Technology from Tsinghua University in 2011, China. He is currently an associate professor at Tsinghua University, Beijing. His research interests include attitude determination, attitude evaluation and parameter identification for inertial navigation system and GNSS.
基金资助:
This work was supported by the National Natural Science Foundation of China (Grant Nos. 62073184, 52105490).

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

Bo Wang¹, Zhong Jiang², Pei-Da Hu¹

1. Department of Precision Instrument, Tsinghua University, Beijing, 100084, People's Republic of China;
2. Institute of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mianyang, 621900, Sichuan, People's Republic of China

Received:2023-02-09 Revised:2023-05-02 Published:2024-03-14
Contact: Zhong Jiang,E-mail:jiangzhong1989@163.com E-mail:jiangzhong1989@163.com
Supported by:
This work was supported by the National Natural Science Foundation of China (Grant Nos. 62073184, 52105490).

摘要/Abstract

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.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-023-00463-z

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

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.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-023-00463-z

Key words: 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

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[J]. Advances in Manufacturing, 2024, 12(1): 33-60.

参考文献

1 Ma S, Zhang GQ, Wang JP et al (2022) An on-line identification method of tool-below-center error in single-point diamond turning. J Manuf Process 79:154–165
2 Jiang X, Guo M, Li B (2018) Active control of high-frequency tool-workpiece vibration in micro-grinding. Int J Adv Manuf Technol 94(1/4):1429–1439
3 Ma H, Guo J, Wu J et al (2020) An active control method for chatter suppression in thin plate turning. IEEE Trans Ind Inf 16(3):1742–1753
4 Qian F, Wu Z, Zhang M et al (2019) Youla parameterized adaptive vibration control against deterministic and band-limited random signals. Mech Syst Signal Process 134:106359. https://doi.org/10.1016/j.ymssp.2019.106359
5 Ding YY, Rui XT, Chen YH et al (2023) Theoretical and experimental investigation on the surface stripes formation in ultra-precision fly cutting machining. Int J Adv Manuf Technol 124:1041–1063. https://doi.org/10.1007/s00170-022-10493-9
6 Chai YY, Jing XJ, Chao X (2022) X-shaped mechanism based enhanced tunable QZS property for passive vibration isolation. Int J Mech Sci 218:107077. https://doi.org/10.1016/j.ijmecsci.2022.107077
7 Yan G, Qi WH, Shi JW et al (2022) Bionic paw-inspired structure for vibration isolation with novel nonlinear compensation mechanism. J Sound Vib 525:116799. https://doi.org/10.1016/j.jsv.2022.116799r
8 Yang B, Hu Y, Fang H et al (2017) Research on arrangement scheme of magnetic suspension isolator for multi-degree freedom vibration isolation system. J Ind Inf Integr 6:47–55
9 Zhang B, Dong W, Li X et al (2020) Design of active-passive composite vibration isolation system of magnetic levitation and spring based on fuzzy PID control. In: Chinese automation congress, Shanghai, 6-8 November, pp 2381–2386
10 Xu J, Yang X, Li W et al (2020) Research on semi-active vibration isolation system based on electromagnetic spring. Mech Ind 21(1):101. https://doi.org/10.1051/meca/2019048
11 Kheiri Sarabi B, Sharma M, Kaur D (2018) Active vibration control based on LQR technique for two degrees of freedom system. In: Nandi A, Sujatha N, Menaka R et al (eds) Computational signal processing and analysis. Lecture notes in electrical engineering, vol 490, Springer, Singapore. https://doi.org/10.1007/978-981-10-8354-9_15
12 Jiang D, Li J, Li X et al (2020) Modeling identification and control of a 6-DOF active vibration isolation system driving by voice coil motors with a Halbach array magnet. J Mech Sci Technol 34(2):617–630
13 Ab Rahim S, Muthalif AGA, Tunthim KK et al (2019) Active vibration isolation system (AVIS) using a voice coil actuator to improve free space optics communication. In: IEEE 10th control and system graduate research colloquium (ICSGRC), Shah Alam, Malaysia. https://doi.org/10.1109/ICSGRC.2019.8837053
14 Lee JH, Kim HY, Kim KH et al (2017) Control of a hybrid active–passive vibration isolation system. J Mech Sci Technol 31(12):5711–5719
15 Chen F (2018) Vibration suppression with electromagnetic hybrid vibration isolators. In: The 9th international conference on mechatronics and manufacturing (ICMM 2018), Phuket, Thailand. https://doi.org/10.1088/1757-899X/361/1/012012
16 Yonezawa H, Kajiwara I, Yonezawa A et al (2019) Model-free vibration control to enable vibration suppression of arbitrary structures. In: The 12th Asian control conference (ASCC), Kitakyushu, Japan, pp 289–294
17 Liu YJ, Xu H, Zhang YG et al (2017) Burner-electrode position control of calcium carbide furnace based on BP-PID controller. In: IEEE international conference on mechatronics and automation (ICMA), Takamatsu, Japan. https://doi.org/10.1109/ICMA.2017.8015920
18 Wang JL, Tan R, Nie LY (2022) A steady-state flight control algorithm combining stretching ratio coefficient and PID control for UAVs in uncertain environments. Sustainability 14(22):14678. https://doi.org/10.3390/su142214678
19 Song C, Yu C, Xiao Y et al (2017) Fuzzy logic control based on genetic algorithm for a multi-source excitations floating raft active vibration isolation system. Adv Mech Eng 9(6):1–13
20 Su Z, Li W, Xie W (2019) Simulation analysis of control system for six degrees of freedom damping platform based on Matlab. In: IOP conference series: materials science and engineering, vol 612, pp 032078. https://doi.org/10.1088/1757-899X/612/3/032078
21 Liu Y, Jiang D, Yun JT et al (2022) Self-tuning control of manipulator positioning based on fuzzy PID and PSO algorithm. Front Bioeng Biotechnol 9:12. https://doi.org/10.3389/fbioe.2021.817723
22 Yang L, Su K, Liu S et al (2017) Study on active vibration isolation system using neural network sliding mode control. J Vibroengineering 19(8):6094–6104
23 Liu J, Li X, Zhang X et al (2019) Modeling and simulation of energy-regenerative active suspension based on BP neural network PID control. Shock Vib 2019:4609754. https://doi.org/10.1155/2019/4609754
24 Wang R, Yang S, Wang D (2019) Intelligent piezoelectric peristaltic linear driving model based on neural network. J Intell Fuzzy Syst 37(1):455–465
25 Gulcu S (2022) Training of the feed forward artificial neural networks using dragonfly algorithm. Appl Soft Comput 124:109023. https://doi.org/10.1016/j.asoc.2022.109023
26 Ren HJ, Hou B, Zhou G et al (2020) Variable pitch active disturbance rejection control of wind turbines based on BP neural network PID. IEEE Access 8:71782–71797
27 Ye HY, Ni XD, Chen HJ et al (2022) Constant speed control of hydraulic travel system based on neural network algorithm. Processes 10(5):17. https://doi.org/10.3390/pr10050944
28 Song L, Huang LJ, Long B et al (2020) A genetic-algorithm-based DC current minimization scheme for transformless grid-connected photovoltaic inverters. Energies 13(3):746. https://doi.org/10.3390/en13030746
29 Yang J, Hu YP, Zhang KX et al (2021) An improved evolution algorithm using population competition genetic algorithm and self-correction BP neural network based on fitness landscape. Soft Comput 25(3):1751–1776
30 Chen YP, Liu SR, Xiong C et al (2019) Research on UAV flight tracking control based on genetic algorithm optimization and improved bp neural network pid control. In: 2019 Chinese automation congress (CAC), Hangzhou, China. https://doi.org/10.1109/CAC48633.2019.8996179
31 Zhang XL, Fan HM, Zang JY et al (2015) Nonlinear control of triple inverted pendulum based on GA-PIDNN. Nonlinear Dyn 79(2):1185–1194

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

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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