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基于模糊PID算法的车载液压调平动态特性联合仿真研究
引用本文:徐瑞亮,陈奎生,刘 洋,湛从昌.基于模糊PID算法的车载液压调平动态特性联合仿真研究[J].液压与气动,2017,0(8):112-117.
作者姓名:徐瑞亮  陈奎生  刘 洋  湛从昌
作者单位:武汉科技大学机械自动化学院, 湖北武汉 430081
摘    要:基于车载平台液压调平系统,为了减少支腿的跟踪误差及其同步误差,降低支腿之间的运动耦合,采用模糊PID控制算法实现调平过程中动态特性控制。利用AMESim和MATLAB/Simulink分别建立调平液压回路和模糊PID控制器的仿真模型并进行联合仿真研究。结果表明,加入模糊PID算法比常规PID算法能够有效的减少支腿的跟踪误差和定位误差以及支腿之间同步误差,有效提高调平精度。

收稿时间:2017-02-10

Co-simulation Based on Fuzzy PID Algorithm for Dynamic Characteristic of Vehicle Hydraulic Leveling
XU Rui-liang,CHEN Kui-sheng,LIU Yang,ZHAN Cong-chang.Co-simulation Based on Fuzzy PID Algorithm for Dynamic Characteristic of Vehicle Hydraulic Leveling[J].Chinese Hydraulics & Pneumatics,2017,0(8):112-117.
Authors:XU Rui-liang  CHEN Kui-sheng  LIU Yang  ZHAN Cong-chang
Affiliation:College of Mechanical Automation, Wuhan University of Science and Technology, Wuhan, Hubei430081
Abstract:For the hydraulic level system of vehicle platform, in order to reduce the tracking error of the leg and the synchronization error between legs and reduce the motion coupling between hydraulic legs, the fuzzy PID control algorithm is adopted to realize the dynamic characteristic control in the leveling process. The simulation model of the leveling hydraulic circuit and fuzzy PID controller are established by using AMEsim and MATLAB/Simulink and underway the jiont simulation study. The result shows that the fuzzy PID algorithm compared with the conventional PID algorithm can effectively reduce the tracking error, positioning error and synchronization error between hydraulic legs, and can effectively improve the leveling accuracy.
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