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作 者:戚伟 杨波 晁宇 QI Wei;YANG Bo;CHAO Yu(School of Mechanical Engineering,Xinjiang University,Urumqi Xinjiang 830017,China)
机构地区:[1]新疆大学机械工程学院,新疆乌鲁木齐830017
出 处:《机床与液压》2023年第20期44-50,共7页Machine Tool & Hydraulics
基 金:博士启动项目(BS190218);新疆维吾尔自治区自然科学基金资助项目(2022D01C93)。
摘 要:针对液压压裂泵的液压缸工作中的不同步导致整个系统流量和压力脉动大、输出效率低、液压元件使用寿命短的问题,以阀控缸为研究对象搭建其数学模型,提出利用模糊RBF神经网络+交叉耦合的控制策略对液压缸的同步动作进行控制。在传统模糊控制的基础上,将模糊控制与RBF神经网络控制融合在一起,根据系统数学模型,设计了跟踪控制器和同步控制器,实现对阀控缸系统的精准控制与同步反馈。仿真结果表明:与传统PID和模糊PID系统相比,模糊RBF神经网络+交叉耦合同步控制策略同步精度高,响应速度快,有较好的鲁棒性和稳定性。Aiming at the problems of large flow and pressure ripple of the whole system,low output efficiency and short service life of the hydraulic components caused by the different synchronization of the hydraulic cylinder in the work,the mathematical model was built with the valve control cylinder as the research object,and the control strategy of fuzzy RBF neural network+cross-coupling was proposed to control the synchronous action of the hydraulic cylinder.On the basis of traditional fuzzy control,the fuzzy control and RBF neural network control were fused together,and the tracking controller and synchronization controller were designed according to the mathematical model of the system to achieve accurate control and synchronous feedback of the valve control cylinder system.Simulation results show that compared with traditional PID and fuzzy PID systems,the fuzzy RBF neural network+cross-coupling synchronous control strategy has high synchronization accuracy,fast response speed,good robustness and stability.
分 类 号:TH137.1[机械工程—机械制造及自动化]
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