基于预测自学习优化PID算法的注塑机背压控制系统研究

Guanke Wang, Dongmo Zhang, Chun Li, Jingqi Peng, Xuan Zhang
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引用次数: 1

摘要

多数液压注塑机采用比例溢流阀或比例伺服阀控制预塑背压,但由于溢流阀和伺服阀本身的限制,在实际应用中无法实现低背压甚至零背压控制。本文提出用比例方向阀代替溢流阀和伺服阀来控制背压,并通过控制比例方向阀的开度来控制背压,大量仿真结果表明,在不同的背压条件下,可以快速、平稳地建立背压。并采用双通道方式连接比例换向阀,可实现高流量和低压的通流能力。系统采用预判断自学习算法对PID控制算法进行优化,实现了对背压的快速、细微的压力调节。仿真和系统测试表明,该系统具有良好的稳态性能和动态质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on back pressure control system of injection molding machine based on predictive self-learning Optimization PID algorithm
Most of the hydraulic injection molding machines are controlled by proportional relief valves or proportional servo valves to control the pre-plastic back pressure, but due to the limitations of the relief valve and the servo valve itself, low back pressure or even zero back pressure control cannot be achieved in practical applications. This paper proposes to use a proportional direction valve instead of a relief valve and a servo valve to control the back pressure, and to control the back pressure by controlling the opening of the proportional direction valve, and a large number of simulation results show that under different back pressure conditions, the back pressure can be established quickly and smoothly. And the use of dual channel mode to connect the proportional directional valve, can achieve high flow and low pressure of the flow capacity. The system uses a pre-judgment self-learning algorithm to optimize the PID control algorithm, which can achieve rapid and subtle pressure adjustment of back pressure Simulation and system testing show that the system has good steady-state performance and dynamic quality.
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