Real-Time Flow Control System Based On Siemens Plc

2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA)(2019)

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摘要
Traditional flow control systems are hard to reach the goal of high-precision and high-speed due to the volatility, nonlinearity and large disturbance of the flow. To solve the problem, a real-time flow control system based on fuzzy PID was designed in the paper, which used ID3 algorithm of the decision tree to calculate information gain and select the best decision to formulate fuzzy control rules. The design selects Siemens PLC as control core, combining with electromagnetic Flow Meter, Regulating Valve and Human Machine Interface. Finally, results of simulation and experiments of this control method show that the control system has favorable dynamic and static characteristics.
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关键词
Flow control, Fuzzy-PID, PLC, Machine Learning, Decision Tree
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