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论文摘要

前馈模糊免疫算法在泵阀联合EHA压力环控制中的应用

Application of Feed Forward Fuzzy Immune Algorithm to Pressure Loop Control of Pump and Valve Combined EHA

作者:陈辉(北京航空航天大学自动化科学与电气工程学院);纪友哲(中国石油集团 钻井工程技术研究院钻井设备研究所);祁晓野(北京航空航天大学自动化科学与电气工程学院);付永领(北京航空航天大学自动化科学与电气工程学院)

Author:Chen Hui(School of Automation Sci. and Electrical Eng., Beijing Univ. of Aeronautics and Astronautics);Ji YouZhe(Drilling Mechanical Dept., CNPC Drilling Research Institute);Qi XiaoYe(School of Automation Sci. and Electrical Eng., Beijing Univ. of Aeronautics and Astronautics);Fu Yongling(School of Automation Sci. and Electrical Eng., Beijing Univ. of Aeronautics and Astronautics)

收稿日期:2009-06-08          年卷(期)页码:2010,42(3):184-188

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:泵阀协调控制;电动静液作动器;前馈模糊免疫控制;压力控制

Key words:pump-valve coordinated control; electro-hydraulic actuator; feed-forward fuzzy immune control; pressure control

基金项目:国家自然科学基金资助项目(50675009)

中文摘要

针对泵阀协调控制的电动静液作动器(EHA)阀控环节响应高于压力环节的特殊性,采用了基于前馈模糊免疫算法(FFIM)的压力环控制策略。该算法将阀控环节的位置偏差作为前馈信号引入压力环,并选取具有优化能力的免疫算法(IM),通过引入模糊控制作为算子函数,实时整定PID控制参数,从而提高压力环的动态响应和控制能力。仿真结果表明,前馈信号的引入提高了系统压力环的响应,但导致压力值高于设计值,而免疫算法可有效降低压力值的波动。两者的有效结合,不仅克服了压力环强时变、高非线性等缺点,而且增强了系统的控制能力。

英文摘要

Aiming at the specificity of pump-valve coordinated control electro-hydraulic actuator (EHA) that valve control loop response higher than pressure loop, the feed-forward fuzzy immune (FFIM) control strategy was applied to the pressure loop control. The position error signal was added to the pressure loop as a feed-forward signal, the dynamic response and control capability of the pressure loop were increased as a result of using optimization immune algorithm and fuzzy algorithm as operator function to adjust PID control parameters in real time. The simulation results showed that the feed-forward signal will increase the response of pressure loop, but will make the pressure value bigger than the setting value, and immune algorithm can effectively reduce the pressure fluctuation around the pressure setting value. So the joint of feed-forward and immune algorithm will not only overcome the high nonlinear and time-varying parameters characters of pressure loop, but also enhance the control capacity of the system.

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