Case Study: Wet blending process in the food industry
The Control system for the technology of wet blend food processing consists of many control loops. Attempts to use standard PID control for the product temperature were not successful due to the effect of the disturbance variables and significant transportation delay between the control action and its effect on temperature. A single setting of controller parameters did not satisfy control requirements for the whole spectrum of applied recipes. One of the solutions, which satisfies the requirements in a wide range of operating conditions, is a non-linear PI controller with scheduled gains using expert fuzzy rules based on applied recipe and other operating conditions.
Advanced applications in industrial automation include intelligent control systems, process diagnostics, decision-making and expert systems, intelligent monitoring systems and forecasting systems |
Basic system features include a Library of components, hierarchical fuzzy systems, no limits on number of inputs, outputs, terms and rules, several methods for fuzzy system analysis, export fuzzy systems to Logix Add-On Instructions (.L5X XML files), the import of fuzzy systems from Add-On Instructions and online monitoring and tuning of fuzzy Add-On Instructions in running Logix controllers
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