Development of the steam flow rate control system using chaos predictor

Abstract

We developed a predictive steam flow rate control system using generalized radial basis function, focusing on chaotic motion of steam flow rate of refuse incinerator. Predicted signal has optimized with online learning and predicted time has optimized with real time prediction of reliability of predicted value using Lyapunov exponent. This system is characterized by tuningless and good performance of reliability of predicted value. This system has been installed and tested at an incineration plant with industrial scale and showed good control performance compared with a conventional control system.