The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Process model is the kernel element of Model Predictive Control (MPC) system. It is always desirable to get a model as accurate as the actual facility or plant to reduce the built-in mismatch. With the passage of time, the mismatch between model and plant increases, which results in degradation of MPC performance. To rectify mismatches through plant re-identification is exorbitant and time consuming...
Control of depropanizer process is challenging due to the interaction caused by the multivariable nature of the process and significant non-linearity of the system. In-situ plant tests are mandatory for application of MPC in a real industrial environment due to the necessity of the model for the design of the controller. However, these tests are costly for most chemical industries due to process complexities,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.