| The paper discusses a computer monitoring system for a thirty thousand ton CO2 refinedly retrieving project of Jinzhou Liulu Industry joint-stock company. According to the designing requirements and actual surroundings, the author designs a reliable and low cost system based on domestic and international popular configuration software. The monitoring system has not only friendly HMI which is convenient to operate but also good stability and expansibility. It can reflect the real-time situation of the production vividly so that it provides a strong support for the successive running of the chemical production safely and reliably.In addition, the traditional PID controller for some parameter, specially is temperature parameter, has dissatisfactory results and the parameters are hard to tune. To improve the statues, the author proposes a method to solve the problem effectively. Actually this method use the idea of predictive control for reference and its improved one based on neural network PID controller which applies the non-linearly approaching ability and memorizing ability of neural network to traditional PID discrete equation. The simulation test proves the design's feasibility and validity. It is convenient to use on the real time control of online and better than the traditional one on the aspects of parameter tuning, adaptability of actual production and solve the control problem of slow response plant which is like temperature parameter. |
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