The Research Of Automated Control System Based On The Technical Process Of Acetic And Made By Aldehyde Oxidation

It is vital for chemical plants to enhance material percent conversion, which means lower costing and higher economic gaining. It is significant to elevate the material percent conversion by technical ways, such as software measuring, advanced control and optimum control etc, which is necessary to transform the devices.In this paper, we analyzed RBF neural network's algorithm and properties, and improved network's structure and the function of studying on line, so its generalizing ability and self-adapting ability are enhanced, then can adapt to the fluctuation of the load and material qualities. Based on the field data of the aldehyde oxidation tower of JiLin Chemical Corporation Acetylith Factory, in connection with the mechanic analysis, the models of the acetic acid, aldehyde, methance acid content of oxidation liquid and CO₂ content of tail gas are built by the improved RBFNN.IMC(Inner Model Control) advanced control's principle and performance are introduced, and the IMC—PID advanced control is designed according to the actual PID format with the IMC principle. By using the designing idea, execution routine and software for IMC—PID advanced control, the original PID format of DCS system is reconstructed and IMC—PID advanced control is carried into execution in important control circuits.