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Flow Control for a Two-Stage Proportional Valve with Hydraulic Position Feedback 被引量:6
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作者 He Wang Xiaohu Wang +1 位作者 Jiahai Huang Long Quan 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2020年第6期64-76,共13页
The current research mainly focuses on the flow control for the two-stage proportional valve with hydraulic position feedback which is named as Valvistor valve.Essentially,the Valvistor valve is a proportional throttl... The current research mainly focuses on the flow control for the two-stage proportional valve with hydraulic position feedback which is named as Valvistor valve.Essentially,the Valvistor valve is a proportional throttle valve and the flow fluctuates with the change of load pressure.The flow fluctuation severely restricts the application of the Valvistor valve.In this paper,a novel flow control method the Valvistor valve is provided to suppress the flow fluctuation and develop a high performance proportional flow valve.The mathematical model of this valve is established and linearized.Fuzzy proportional-integral-derivative(PID)controller is adopted in the closed-loop flow control system.The feedback is obtained by the flow inference with back-propagation neural network(BPNN)based on the spool displacement in the pilot stage and the pressure differential across the main orifice.The results show that inference with BPNN can obtain the flow data fast and accurately.With the flow control method,the flow can keep at the set point when the pressure differential across the main orifice changes.The flow control method is effective and the Valvistor valve changes from proportional throttle valve to proportional flow valve.For the developed proportional flow valve,the settling time of the flow is very short when the load pressure changes abruptly.The performances of hysteresis,linearity and bandwidth are in a high range.The linear mathematical model can be verified and the assumptions in the system modeling is reasonable. 展开更多
关键词 Flow control Proportional valve Hydraulic position feedback Back-propagation neural network
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大跨度混凝土拱桥原型与模型时变行为对比 被引量:1
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作者 王永宝 秦鹏举 +2 位作者 刘志华 张翛 毛敏 《Journal of Central South University》 SCIE EI CAS CSCD 2022年第5期1565-1577,共13页
北盘江大桥为一座主跨为445 m,矢高为100 m的无铰拱桥,是中国已建的最大跨度劲性骨架混凝土拱桥。为研究该桥施工过程的合理性和成桥后的长期性能,开展了模型试验研究,但当考虑长期性能后,原型和模型桥测试的变形和应力比例不符合线弹... 北盘江大桥为一座主跨为445 m,矢高为100 m的无铰拱桥,是中国已建的最大跨度劲性骨架混凝土拱桥。为研究该桥施工过程的合理性和成桥后的长期性能,开展了模型试验研究,但当考虑长期性能后,原型和模型桥测试的变形和应力比例不符合线弹性比例关系。因此,本文建立了原型桥与模型桥的三维有限元模型,用实测数据验证有限元模型的正确性;对比了原型桥与模型桥在弹性和考虑温度与收缩徐变耦合效应后的位移、应力结果,并对其长期变形行为进行参数分析。研究结果表明:当考虑有效温度和混凝土收缩徐变效应后,原型桥和模型桥的有限元分析结果与实测结果吻合较好;原型桥与模型桥在不同施工和成桥阶段的位移和应力相似比不再完全满足7.5和1.0的要求;混凝土收缩徐变预测模型和温度变化历程均会对原型桥与模型桥的位移比例产生较大影响。 展开更多
关键词 混凝土拱桥 时变行为 有限元 模型试验 劲性骨架
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