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多缸纯气动控制系统障碍信号消除原理分析

2690    2017-06-05

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作者:周钦河

作者单位:广东水利电力职业技术学院机械工程系, 广东 广州 510925


关键词:纯气动系统;障碍信号;消除原理


摘要:

多缸顺序动作纯气动系统常常存在障碍信号,针对目前延时阀脉冲消障法存在的脉冲宽度难以调节、时间精度较差等不足,本文分析多缸纯气动控制系统障碍信号消除原理,利用步进控制思路,提出一种基于步进脉冲的气动控制系统障碍信号消除方法,并设计其内部结构,应用于多缸纯气动控制系统。通过FluidSIM软件,分别对采用步进脉冲法和延时脉冲法消除障碍信号进行仿真,仿真结果表明:只需采用气动步进脉冲行程阀代替普通行程阀,即可直接消除障碍信号,无需进行复杂分析或增加记忆元件,且适用于不同行程与运动速度的气动系统。采用该方法进行障碍信号消除快捷、直观、结构简单且成本较低,简化多缸纯气动控制系统设计。


Analysis of obstacle signal elimination principle for multi-cylinder pure pneumatic control system

ZHOU Qinhe

Department of Mechanical Engineering, Guangdong Technical College of Water Resources and Electric Engineering, Guangzhou 510925, China

Abstract: Obstacle signal always exists in multi-cylinder sequential action pure pneumatic system. There were several shortcomings in time-delay valve pulse obstacle signal elimination method, such as poor pulse width applicability and time inaccuracy. Based on the analysis of obstacle signal elimination principle for multi-cylinder pure pneumatic control system, this paper presented a obstacle signal elimination method based on step control for pneumatic control system. Its internal structure was designed and applied to the multi-cylinder pure pneumatic control system. By using FluidSIM software, obstacle signal elimination method was simulated respectively based on step pulse method and delay-time pulse method. The results show that obstacle signal can be directly eliminated only by replacing common stroke valve with pneumatic stepping pulse stroke valve, without complex analysis or increasing memory elements, and it is suitable for pneumatic systems with different strokes and movement speeds. With this method, it is simple and fast to intuitively eliminate the obstacle signal with features such as simple structure and low cost, which simplifies the design of multi-cylinder pure pneumatic control system.

Keywords: pure pneumatic system;obstacle signal;elimination principle

2017, 43(5): 115-119  收稿日期: 2017-02-03;收到修改稿日期: 2017-03-10

基金项目: 

作者简介: 周钦河(1975-),男,广东潮州市人,副教授,硕士,研究方向为机电一体化。

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