Adaptive PI control research for precision platform magnetic-sensitive intelligent vibration isolation system

PDF(2129 KB)

Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (8) : 232-237.

ZHONG Can,HUANG Zhen,FU Jie,HAN Jinyu,YU Miao,QI Song

Author information +

History +

Abstract

To suppress time-varying vibrations in precision machining processes, a semi-active adaptive PI control method based on magnetorheological elastomer (MRE) was proposed. Firstly, the dynamic model of the MRE isolation system was established based on the variable stiffness isolation principle,and then the semi-active control conditions were derived. Secondly, taking the response acceleration and target acceleration deviation as the input of the PI controller, the optimal PI control parameters under different vibration frequencies and amplitudes were optimized by genetic algorithm, and the frequency amplitude dependent adaptive law was obtained based on the passive reference model.This method does not need to identify the frequency by complicated Fourier transform, and has high real-time performance. Finally, the effectiveness of the designed controller was verified by simulation and experiment. The results show that compared with the traditional PI controller, the proposed method has greater suppression at 40Hz-50Hz and 1.0 m/s2 - 3.0 m/s2 time-varying vibration.

Key words

Magnetorheological elastomer isolator / Precision fabrication platform / Adaptive PI controller / Time-varying excitation

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

ZHONG Can,HUANG Zhen,FU Jie,HAN Jinyu,YU Miao,QI Song. Adaptive PI control research for precision platform magnetic-sensitive intelligent vibration isolation system[J]. Journal of Vibration and Shock, 2024, 43(8): 232-237

References

[1] 李绿洲, 丁建宁, 田煜. 磁流变弹性体吸振器的拓频控制设计与simulink模拟优化[J]. 振动与冲击, 2016, 35(17): 171-176. Li Lvzhou, Din Jianning, Tian Yu. Extension frequency control design and simulink simulation optimization of a magnetorheological elastomer absorber[J]. Journal of Vibration and Shock, 2016, 35(17): 171-176. [2] Gu G Y, Zhu L M and Su C Y, High-precision control of piezoelectric nanopositioning stages using hysteresis compensator and disturbance observer[J]. Smart Materials and Structures, 2014, 23(10): 10500710. [3] LENG Dingxin , WANG Runcong , YANG Yi , et al. Study on a three-dimensional variable-stiffness TMD for mitigating bi-directional vibration of monopile offshore wind turbines[J]. Ocean Engineering, 2023, 281: 114791. [4] 朱秘, 余淼, 浮洁等. 基于磁流变弹性体的缓冲装置设计及其冲击响应特性研究[J]. 振动与冲击, 2017, 36(04): 172-177. ZHU Mi, Yu M, Fu J, et al. An experimental study onshock response characteristicsof magnetorheological elastomer-based buffer[J]. Journal of Vibration and Shock, 2017, 36(4): 172－177. [5] 赖俊杰，浮洁，白俊峰等. 精密加工平台隔振系统多频振动控制[J]. 振动与冲击, 2019, 38(10): 242-249. LAI Junjie, FU Jie, BAI Junfeng, et al. Multi-frequency vibration control of vibration isolation system of precision machining platform[J]. Journal of Vibration and Shock, 2019, 38(10): 242-249. [6] Fu J,Bai J,Lai J, et al. Adaptive fuzzy control of a magnetorheological elastomer vibration isolation system with time-varying sinusoidal excitations[J]. Journal of Sound and Vibration, 2019, 456, 386-406. [7] Xia D, Liu J, Li W, et al. Incremental proportion integration differentiation control of all-terrain vehicle magnetorheological suspension system under low-frequency disturbances[J]. Smart Materials and Structures, 2023, 32(7): 075019. [8] 白亮, 冯蕴雯, 薛小锋. 压电智能结构振动的一致性PID(CPID)控制[J]. 振动与冲击, 2017, 36(22): 192-198. Bai Liang, Feng Yunwen. Consistent PID(CPID) control of piezoelectric intelligent structure vibration[J]. Journal of Vibration and Shock, 2017, 26(08): 1497-1502. [9] Ruidong H, Songlin N, Hui J, et al. Evaluation of flow-induced vibration suppression performances of magneto-rheological damping pipe clamp using PID algorithm[J]. Journal of Intelligent Material Systems and Structures, 2023, 34(11): 1330-1340. [10] LIU Chang ,ZHAO Chunyu ,WEN Bangchun . Dynamics analysis on the MDOF model of ball screw feed system considering the assembly error of guide rails[J]. Mechanical Systems and Signal Processing, 2022, 178: 109290. [11] SUN YiJia , GONG Hu , AO ShengJun , et al. In-situ characterization method for tool ultrasonic vibration in rotary ultrasonic machining based on radiated acoustic pressure[J]. Mechanical Systems and Signal Processing, 2023, 195: 110294. [12] XU Xiaoqiang , ZHOU Tianyu, WAN Liyou ,et al. Detection of modulated chatter using moving average difference spectrum analysis[J]. Journal of Sound and Vibration, 2022, 517(20): 116568. [13] 许聪聪,潘鑫,张皓宇等.基于自修正系数和模糊PID的高端装备亚微米级不平衡振动靶向抑制方法[J]. 机械工程学报, 2023,59(13): 1-9. Xu Congcong, Fan Xin, Zhang Haoyu. Submicron level unbalance vibration suppression method for high-end equipment based on self-correction coefficient and fuzzy PID[J]. Journal of Mechanical Engineering, 2023, 59(13): 1-9. [14] 张兵,黄华,蔡佳敏等.冗余六自由度并联隔振平台多维隔振性能研究[J].振动与冲击,2022,41(02):26-32. Zhang Bing, Huang Hua, Cai Jiamin. Research on multi-dimensional vibration isolation performance of redundant 6-DOF parallel vibration isolation platform[J]. Journal of Vibration and Shock, 2022, 41(02): 26－32. [15] Luo Y, Zhang Y, Xu M, et al. Improved vibration attenuation performance of large hoop truss structures via a hybrid control algorithm[J]. Smart Materials and Structures, 2019, 28(6): 065007. [16] Fu J, Liu J, Lai J, et al. Robustness analysis of magnetorheological elastomer-based vibration isolation system with optimal fuzzy controller[J]. Smart Materials and Structures, 2023, 32(3): 035018.