[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

弹箭与制导学报 >

2025 , Vol. 45 >Issue 6: 1240 - 1248

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2025.06.035

学术文章

基于模糊自适应控制的光纤收集系统多电机协同控制策略

  • 王鑫博 ,
  • 马保吉 , *
展开
  • 西安工业大学兵器科学与技术学院,陕西 西安 710021
马保吉(1965—),男,教授。E-mail:。

王鑫博(1997—),男,硕士研究生。E-mail:。

收稿日期: 2025-02-22

  网络出版日期: 2026-01-24

收起

Multi-Motor Coordinated Control Strategy for Optical Fiber Collection Systems Based on Fuzzy Adaptive Control

  • WANG Xinbo ,
  • MA Baoji , *
Expand
  • School of Armament Science and Technology,Xi’an Technological University,Xi’an 710021,Shaanxi,China

Received date: 2025-02-22

  Online published: 2026-01-24

Fold

摘要

针对光纤收集系统中多电机协同控制的动态耦合与非线性时变问题,提出了一种基于速度差补偿机制的模糊自适应多电机协同控制策略。通过建立张力摆杆偏移角度与三电机动态转速分配的耦合模型,构建主从控制与改进型偏差耦合相结合的复合协同架构,实现摆杆水平位置的自适应调节。为提升传统比例-积分-微分控制器对时变工况的适应性,采用模糊推理机制在线动态修正速度补偿参数,有效抑制时变负载引起的控制失配。基于Simulink搭建多电机协同控制系统仿真平台,并通过实验验证所提策略的有效性。结果表明,与传统方法相比,该策略显著增强了系统抗干扰能力,在动态响应速度与稳定性方面表现更优,尤其在高速变载工况下系统能够迅速收敛至稳态误差带内并维持平稳运行。

关键词： 光纤收集系统; 多电机协同控制; 主从控制; 改进型偏差耦合; 模糊自适应控制

本文引用格式

王鑫博 , 马保吉 . 基于模糊自适应控制的光纤收集系统多电机协同控制策略[J]. 弹箭与制导学报, 2025 , 45(6) : 1240 -1248 . DOI: 10.15892/j.cnki.djzdxb.2025.06.035

Abstract

Aiming at the dynamic coupling and nonlinear time-varying problem of multi-motor cooperative control in fiber optic collection system,a fuzzy adaptive multi-motor cooperative control strategy based on speed difference compensation mechanism is proposed.By establishing a coupling model between the offset angle of the tension pendulum and the dynamic speed distribution of the three motors,a composite cooperative architecture combining master-slave control and improved deviation coupling is constructed to realize the adaptive adjustment of the horizontal position of the pendulum.In order to improve the adaptability of the traditional proportional-integral-derivative controller to the time-varying working conditions,a fuzzy inference mechanism is adopted to dynamically correct the speed compensation parameters online,and the control mismatch caused by time-varying load is effectively suppressed.Based on Simulink,a multi-motor cooperative control system simulation platform is built,and the effectiveness of the proposed strategy is verified through experiments.The results show that compared with the traditional method,the strategy significantly enhances the system’s anti-interference ability,and performs better in terms of dynamic response speed and stability,especially in the high-speed variable load conditions,the system can quickly converge to the steady state error band and maintain smooth operation.

Key words： Optical fiber collection system; Multi-motor coordinated control; Master-slave control; Improved deviation coupling; Fuzzy adaptive control

[an error occurred while processing this directive]

参考文献

原文顺序 | 文献年度倒序 | 文中引用次数倒序
[1]
包川龙. 超音速光纤收线轮结构设计与特性分析[D]. 西安: 西安工业大学, 2023.

BAO C L. Structural design and characterization of supersonic fiber optic take-up wheel[D]. Xi’an: Xi’an Technology University, 2023.

[2]
陈明霞, 郑海涛, 尹浚成, 等. 基于模糊自适应PID的卷绕系统张力控制[J]. 毛纺科技, 2021, 49(03):82-87.

CHEN M X, ZHENG H T, YIN J C, et al. Tension control of winding system based on fuzzy adaptive PID[J]. Wool Textile Science and Technology, 2021, 49(03):82-87.

[3]
杭阿芳, 王秀梅. 基于模糊PID的多电机并联运行主从控制仿真[J]. 计算机仿真, 2023, 40(06):316-320.

HANG A F, WANG X M. Simulation of master-slave control for multi-motor parallel operation based on fuzzy PID[J]. Computer Simulation, 2023, 40(06):316-320.

[4]
朱万秋, 苑迪文, 曹承东, 等. 基于模糊自适应PID的恒张力卷绕系统设计[J]. 工业控制计算机, 2020, 33(07):25-27.

ZHU W Q, YUAN D W, CAO C D, et al. Design of constant tension winding system based on fuzzy adaptive PID[J]. Industrial Control Computer, 2020, 33(07):25-27.

[5]
吕畅. 基于多目标优化算法的主从PID控制参数优化研究[D]. 太原: 太原科技大学, 2024.

LÜ C. Research on optimization of master-slave PID control parameters based on multi-objective optimization algorithm[D]. Taiyuan: Taiyuan University of Science and Technology, 2024.

[6]
杨威, 戴劲松, 王茂森. 基于模糊RBF-PID的张紧装置电机控制研究[J]. 机械制造与自动化, 2023, 52(06):193-198.

YANG W, DAI J S, WANG M S. Research on motor control of tensioning device based on fuzzy RBF-PID[J]. Journal of Mechanical Manufacturing and Automation, 2023, 52(06):193-198.

[7]
李言民, 苗欣, 姜付杰. 基于模糊PID控制器的多电机交叉耦合控制同步控制系统设计[J]. 电工技术, 2019,(06):118-120.

LI Y M, MIAO X, JIANG F J. Design of multi-motor cross-coupling synchronous control system based on fuzzy PID controller[J]. Electrical Engineering Technology, 2019,(06):118-120.

[8]
李力. 光纤绕制系统中的多电机同步控制[D]. 太原: 中北大学, 2014.

LI L. Multi-motor synchronous control in optical fiber winding system[D]. Taiyuan: North University of China, 2014.

[9]
史婷娜, 王敢, 曹彦飞, 等. 伺服系统多轴协同控制技术综述[J/OL]. 中国电机工程学报, 2025, 3(13):1-14.

SHI T N, WANG G, CAO Y F, et al. Review of multi-axis cooperative control technology for servo systems[J/OL]. Proceedings of the CSEE, 2025, 3(13):1-14.

[10]
齐广峰, 池明, 张洁. 某舵机控制器双电机交叉耦合同步控制研究[J]. 电动工具, 2022,(06):14-17.

QI G F, CHI M, ZHANG J. Study on dual-motor cross-coupling synchronous control of a certain servo motor controller[J]. Electric Tools, 2022,(06):14-17.

[11]
包建潮. 高精度光纤自动绕制关键技术研究[D]. 杭州: 浙江理工大学, 2020.

BAO J C. Research on key technologies of high-precision optical fiber automatic winding[D]. Hangzhou: Zhejiang Sci-Tech University, 2020.

[12]
刘金雷, 程鹏, 吴嘉澍. 基于自调整模糊PID的光纤张力控制器设计[J]. 机电工程, 2011, 28(10):1217-1221.

LIU J L, CHENG P, WU J S. Design of optical fiber tension controller based on self-adjusting fuzzy PID[J]. Mechanical and Electrical Engineering, 2011, 28(10):1217-1221.

[13]
王晓瑜, 赵军峰. 基于模糊PID双电机同步控制的PLC设计与实现[J]. 现代制造工程, 2020,(10):128-133.

WANG X Y, ZHAO J F. PLC design and implementation based on fuzzy PID dual-motor synchronous control[J]. Modern Manufacturing Engineering, 2020,(10):128-133.

[14]
梁入云, 郭金妹, 吴爱国, 等. 基于自适应神经网络模糊PID物料卷绕张力控制系统的研究与设计[J]. 科技与创新, 2023,(02):29-32,36.

LIANG R Y, GUO J M, WU A G, et al. Research and design of material winding tension control system based on adaptive neural network fuzzy PID[J]. Science and Technology & Innovation, 2023,(02):29-32,36.

[15]
周成龙. 基于改进偏差耦合的多PMSM协同控制研究[D]. 芜湖: 安徽工程大学, 2022.

ZHOU C L. Research on cooperative control of multiple PMSM based on improved deviation coupling[D]. Wuhu: Anhui Polytechnic University, 2022.

[16]
褚渊博, 侯宏录, 宋玉贵, 等. 炮管俯仰系统建模及油液污染影响控制仿真[J]. 计算机仿真, 2020, 37(01):7-10,45.

CHU Y B, HOU H L SONG Y G, et al. Modeling of gun barrel pitching system and simulation of the influence control of oil contamination[J]. Computer Simulation, 2020, 37(01):7-10,45.

[17]
杨春雨, 王海, 赵建国. 基于强化学习的刚性联接双电机系统无模型最优协调控制[J]. 中国电机工程学报, 2024, 44(09):3691-3702.

YANG C Y, WANG H, ZHAO J G. Model-free optimal coordinated control of rigidly connected dual-motor system based on reinforcement learning[J]. Proceedings of the CSEE, 2024, 44(09):3691-3702.

[18]
王一凡, 石一磬, 孙国强, 等. 基于SVPWM的永磁同步电机矢量控制方法研究[J]. 微电机, 2024, 57(09):14-21.

WANG Y F, SHI Y Q, SUN G Q, et al. Research on vector control method of permanent magnet synchronous motor based on SVPWM[J]. Micromotor, 2024, 57(09):14-21.

[19]
傅胜军. 自动化线缆收排控制系统研究与开发[D]. 南京: 南京航空航天大学, 2020.

FU S J. Research and development of automated cable winding and unwinding control system[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2020.

[20]
任胜乐. 纤维缠绕运动中精密张力控制系统的研究[D]. 哈尔滨: 哈尔滨工业大学, 2007.

REN S L. Research on precision tension control system for fiber winding motion[D].Harbin: Harbin Institute of Technology, 2007.

[21]
徐超威. 基于汇川控制器的凹印机收卷张力控制系统研究[D]. 西安: 西安理工大学, 2023.

XU C W. Research on the tension control system for a gravure printing machine based on the Inovance controller[D]. Xi’an: Xi’an University of Technology, 2023.

[22]
张庆龙. 喷水织机的张力调节与控制系统设计[D]. 青岛: 青岛大学, 2023.

ZHANG Q L. Tension adjustment and control system design for water-jet loom[D]. Qingdao: Qingdao University, 2023.

Options
文章导航

/

〈 〉

[an error occurred while processing this directive]