[1]张锋,李海燕,汪涵,等.采用自适应模糊PID控制的多级齿轮振动主动控制[J].华侨大学学报(自然科学版),2017,38(5):619-624.[doi:10.11830/ISSN.1000-5013.201704047]
　ZHANG Feng,LI Haiyan,WANG Han,et al.Multi-Stage Gear Vibration Active Control Using Adaptive Fuzzy PID Control[J].Journal of Huaqiao University(Natural Science),2017,38(5):619-624.[doi:10.11830/ISSN.1000-5013.201704047]
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采用自适应模糊PID控制的多级齿轮振动主动控制()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第38卷
期数:
2017年第5期
页码:
619-624
栏目:
出版日期:
2017-09-20

文章信息/Info

Title:
Multi-Stage Gear Vibration Active Control Using Adaptive Fuzzy PID Control
文章编号:
1000-5013(2017)05-0619-06
作者:
张锋;  李海燕;  汪涵;  孙文豪;  罗顺安
华侨大学 机电及自动化学院, 福建 厦门 361021
Author(s):
ZHANG Feng;  LI Haiyan;  WANG Han;  SUN Wenhao;  LUO Shun’an
College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China
关键词:
齿轮传动系统;  振动主动控制;  自适应模糊PID控制;  控制逻辑;  谐波振动
Keywords:
gear transmission system;  active vibration control;  adaptive fuzzy PID control;  control logic;  harmonic vibration
分类号:
TB535;N945.13
DOI:
10.11830/ISSN.1000-5013.201704047
文献标志码:
A
摘要:
针对齿轮传动系统在动态激励的作用下产生的多谐波复杂振动,设计一种在低速轴和高速轴分别安装有压电促动器的主动控制结构;提出一种将传统PID控制和自适应算法相结合的自适应模糊PID算法,抑制能量较高的多个谐波振动.在ADAMS平台建立齿轮传动系统虚拟样机,作为被控对象子模块,并在MATLAB/Simulink平台上加载控制算法对系统进行联合仿真.仿真结果表明:在不同转速下,自适应模糊PID控制算法对谐波振动具有良好的控制效果,且优于经典PID控制.
Abstract:
Aiming at controlling multi-harmonic complex vibration generated by dynamic excitation of gear transmission system, an active control structure with piezoelectric actuators mounted on low-speed shaft and high-speed shaft was designed. A controller which was based on the fuzzy adaptive PID algorithm combined with traditional PID control and adaptive algorithm was proposed to suppress the energy of multiple harmonic vibrations. The virtual prototype of the gear transmission system was established as a controlled object on the ADAMS platform, and the system was simulated by loading the control algorithm on the MATLAB/Simulink platform. The simulation results show that the adaptive fuzzy PID control algorithm has a good control effect on the harmonic vibration at different rotational speeds, and it achieves better control performance than the classical PID control algorithm.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2017-04-16
通信作者: 张锋(1979-),男,讲师,博士,主要从事机械振动与噪声控制、汽车系统动力学的研究.E-mail:zhangfeng@hqu.edu.cn.
基金项目: 国家自然科学基金资助项目(51405169); 福建省自然科学基金面上资助项目(2015J01636)
更新日期/Last Update: 2017-09-20