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基于遗传算法的大吨位多油缸同步举撑系统研究
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郑州市重大科技创新专项(2020CXZX0066);河南省专业学位研究生精品教学案例项目(YJS2021AL024)


Research on Large Tonnage Multi-cylinder Synchronous Lifting System Based on Genetic Algorithm
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    摘要:

    针对隧道掘进机(TBM)洞内拆装过程中,液压举撑TBM主机的负载不平衡影响多油缸同步举撑控制系统稳定性的问题,设计一套大吨位多油缸液压同步举撑控制系统,对各个液压元件进行简化建立数学模型。基于传统的PID控制方法引入遗传优化算法,对PID参数进行整定,运用MATLAB/Simulink仿真软件,与常规PID参数整定经验数据法进行比较。仿真结果表明:调节时间缩短了60%,稳态误差降低了52.38%,最大跟踪误差减少了48.57%,平均跟踪误差减少了51.62%,抗干扰性能更强,所设计的控制算法能够满足大吨位多缸液压同步举撑系统稳定性的要求。

    Abstract:

    Aiming at the problem that the load imbalance of the hydraulic support tunnel boring machine(TBM) main engine affects the stability of the multi-cylinder synchronous support control system during the disassembly and assembly process of the TBM,a large-tonnage multi-cylinder hydraulic synchronous support control system was designed,each hydraulic component was simplified to establish the system mathematical model. Based on the traditional PID control method, the genetic optimization algorithm was introduced to set the PID parameters,and the MATLAB/Simulink simulation software was used to compare with the conventional PID parameter setting empirical data method.The simulation results show that the adjustment time is shortened by 60%,the steady-state error is reduced by 52.38%,the maximum tracking error is reduced by 48.57%,and the average tracking error is reduced by 51.62%.The anti-interference performance is more robust,indicating that the designed control algorithm can meet the stability requirements of the large-tonnage multi-cylinder hydraulic synchronous lifting system.

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孔汉,陈傲松,李楠,安小宇,李刚,时安琪,徐莉萍.基于遗传算法的大吨位多油缸同步举撑系统研究[J].机床与液压,2023,51(11):174-179.
KONG Han, CHEN Aosong, LI Nan, AN Xiaoyu, LI Gang, SHI Anqi, XU Liping. Research on Large Tonnage Multi-cylinder Synchronous Lifting System Based on Genetic Algorithm[J]. Machine Tool & Hydraulics,2023,51(11):174-179

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  • 在线发布日期: 2023-06-25
  • 出版日期: 2023-06-15