Performance Improvement of a High-Speed On/Off Valve-Piloted Proportional Valve via Nonlinear Modeling and Load-Adaptive Sliding Mode Control

控制理论(社会学) 非线性系统 绩效改进 标准差 流离失所(心理学) 计算机科学 执行机构 模式(计算机接口) 控制器(灌溉) 滑模控制 跟踪误差 控制系统 气动流量控制 PID控制器 跟踪(教育) 控制阀 电液伺服阀 运动控制 变结构控制 动态定位 流量控制阀 非线性控制 工程类 数学 比例控制
作者
Qi Zhong,XueJian Yan,Enguang Xu,Wanheng Chen,Min Pan,Huayong Yang
出处
期刊:IEEE Transactions on Automation Science and Engineering [Institute of Electrical and Electronics Engineers]
卷期号:23: 2063-2074 被引量:2
标识
DOI:10.1109/tase.2025.3650670
摘要

High-speed on/off valves (HSVs) are recognized for their rapid response and high reliability, and are widely employed as pilot elements in proportional valves. However, their inherent switching behavior intensifies the nonlinear characteristics of the control system, thereby limiting fluid delivery precision. In addition, the main spool of the proportional valve is subjected to significantly time-varying load forces. To address these challenges, a nonlinear flow model of the HSV is established, and the dynamics of pressure pulsation propagation are systematically analyzed. Meanwhile, a dynamic model of the proportional valve main spool is developed, explicitly incorporating the effects of time-varying load forces. Based on these models, a load-adaptive sliding mode control (LASMC) strategy is proposed to improve the motion control performance of a high-speed on/off valve–piloted proportional valve (HSVPPV). Motion control experiments conducted on the HSVPPV and its valve-controlled system validated the proposed approach. Compared to conventional PI control, LASMC reduced the main spool’s maximum displacement error from 0.696 mm to 0.312 mm (a 55.2% reduction) and standard deviation from 0.213 mm to 0.127 mm (a 40.4% reduction). At the actuator level, the cylinder’s maximum error decreased from 14.996 mm to 11.527 mm (a 23.1% reduction) and standard deviation from 11.347 mm to 10.323 mm (a 9.0% reduction). These results demonstrate that the proposed controller significantly enhances both valve positioning accuracy and overall system tracking stability.
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