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基于AMESim-Simulink的自适应模糊PID电液比例位置控制研究 被引量:12

Adaptive fuzzy PID electro-hydraulic proportionalposition control based on AMESim-Simulink
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摘要 针对压剪试验机水平剪切系统超大流量、超大输出力作用下的动态加载特性问题,对压剪试验机水平剪切系统阶跃响应、正弦实际工况加载精度、位移-力加载特性等方面进行了研究。分析了设备的剪切原理,并以电液比例位置控制系统为研究对象,采用6只电液比例阀并联控制,拟定了水平剪切系统子回路液压原理图;引入了自适应模糊PID控制,设计了模糊控制器,运用AMESim和Simulink联合优化了水平剪切模型,并进行了相应的仿真分析。研究结果表明:与普通PID控制相比之下,采用自适应模糊PID控制的系统可以实现更优的鲁棒性,系统可以在更短的时间内达到稳态,且具有更小的超调量;实际位移跟踪正弦期望信号,位移误差范围-2.6%~1.9%,位于误差允许范围±5%之内。 Aiming at the problem of dynamic loading characteristics of the compression shear tester horizontal shear system under the influence of super large flow rate and output force,the step response of the horizontal shear system,the loading accuracy of the sinusoidal actual working condition and the x p-F loading characteristic were studied.The shear principle of the equipment was analyzed,the electro-hydraulic proportional position control system was taken as the research object,six electro-hydraulic proportional valves were used for parallel control.The hydraulic schematic of the horizontal shear system sub-circuit was drawn,the adaptive fuzzy PID control was introduced,the fuzzy controller was designed,and the horizontal shear model was optimized and simulated with AMESim and Simulink.The results indicate that comparing with ordinary PID,the adaptive fuzzy PID control can achieve better robustness,the system can reach steady state in a shorter time and smaller overshoot,the actual displacement tracks the sinusoidal expected signal,the error is-2.6%~1.9%,which is within±5%of the allowable error range.
作者 李延民 刘锡山 王振 庄天宇 LI Yan-min;LIU Xi-shan;WANG Zhen;ZHUANG Tian-yu(School of Mechanical and Power Engineering,Zhengzhou University,Zhengzhou 450001,China;Henan Province Industrial Technology Research Institute of Resources and Materials,Zhengzhou University,Zhengzhou 450001,China)
出处 《机电工程》 CAS 北大核心 2020年第12期1453-1458,共6页 Journal of Mechanical & Electrical Engineering
基金 河南省交通运输科技计划资助项目(2019J2)。
关键词 压剪试验机 液压控制系统 AMESIM SIMULINK 自适应模糊PID compression shear tester hydraulic control system AMESim Simulink adaptive fuzzy PID
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