基于模糊PID控制的变排量液压马达系统仿真
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北京航空航天大学机械工程及自动化学院,北京航空航天大学机械工程及自动化学院


Simulation of Variable Displacement Hydraulic Motor System Based on Fuzzy PID Control
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School of Mechanical Engineering & Automation Beihang University,

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    摘要:

    与定排量液压马达系统相比较,变排量液压马达系统可降低流量消耗、提高总体效率、减小设备尺寸,且具有响应速度快等优点,能满足大功率和大惯量负载使用需求。针对液压伺服系统的非线性和负载参数的时变性等特点,对变排量液压马达控系统制策略进行了研究,通过对其进行AMESim建模仿真,分析了其速度控制和运动位置控制方法。由于常规PID控制器的控制参数在系统动态响应中是固定不变的,液压系统在工作过程中受到负载扰动而使得输出速度波动较大,从而造成不平稳性。故采用模糊自整定PID控制方法,在线实时调整PID控制参数,运用AMESim和Matlab/Simulink软件对该伺服系统进行联合建模仿真。仿真结果表明,与常规PID控制相比较,模糊PID控制在响应速度和平稳性等方面具有显著优势。

    Abstract:

    Compared with fixed displacement hydraulic motor system, variable displacement hydraulic motor system has a significant improvement in peak flow consumption, overall efficiency and equipment size, and has the advantage of fast response. It can meet the demand of high power and large inertia load. Based on the nonlinearity characteristic of the hydraulic servo system and the time variability of the load parameters, the control strategy of the variable displacement hydraulic motor control system is studied. The speed control and the motion position control method are analyzed by AMESim modeling and simulation. Conventional PID controller can not adjust control parameters according to load changes in real time, which can cause instability due to speed fluctuation. Therefore, we utilize the fuzzy PID control model of AMESim and Simulink in Matlab to model and simulate the servo system. Simulation results show that compared with the conventional PID control, fuzzy PID control has a significant advantage in terms of response speed and stability performance.

    参考文献
    [1]WilliamG.Durtschi, Magdy Kandil, Donald Kilroy. Design, Development, and Demonstration of a High-Pressure, Overcenter, Variable-Displacement Hydraulic Motor[R]. Long Beach,California:Aerospace Technology Conference and Exposition,1990.
    [2]游有鹏, 缪群华. 液压与气压传动[M]. 北京:科学出版社,2010.
    [3]付永领, 祁晓野. LMS Imagine.Lab AMESim系统建模和仿真[M]. 北京:北京航空航天大学出版社,2011.
    [4]刘春生, 吴庆宪. 现代控制工程基础[M]. 北京:科学出版社,2011.
    [5]陈斌, 裴忠才,唐志勇. 液压四足机器人的自适应模糊PID控制[J]. 哈尔滨工业大学学报, 2016,48(9):140–144.
    [6]石云飞, 章青,吕喆. 基于模糊PID控制的液压同步提升系统仿真分析[J]. 计算机工程与科学, 2016,38(11):2335–2341.
    [7]付甜甜, 朱玉川,顾亚军. 基于MATLAB-AMESim的电液伺服系统PID控制[J]. 机床与液压, 2016,20(10):144–146.
    余容, 孙浩然, 何朝明. 伺服控制系统的复合模糊自适应PID控制[J]. 组合机床与自动化加工技术, 2017,4:75–81.
    [9]鲁雄文. 模糊PID控制系统的设计与研究[J]. 现代电子技术, 2014,37(24):146–149.
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马俊功,杨晓月.基于模糊PID控制的变排量液压马达系统仿真计算机测量与控制[J].,2018,26(10):61-65.

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  • 收稿日期:2017-09-14
  • 最后修改日期:2017-10-14
  • 录用日期:2017-10-16
  • 在线发布日期: 2018-10-16
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