Model Free Adaptive Control for the Temperature Adjustment of UGI Coal Gasification Process in Synthetic Ammonia Industry

Abstract

In this manuscript, a data-driven model free adaptive control (MFAC) method is introduced for a UGI gasifier. During the UGI gasification process, the temperature of crude gas inside the UGI gasifier is very important. However, the accurate multi-input and multi-output mathematical model describing the dynamics of the crude gas temperature cannot be created due to the complexity of the gasification systems. The main feature of MFAC method is that the controller design depends only on the input and the output measurement data of the controlled plant. Specifically, the MFAC controller is designed via a novel dynamic linearization technique with a time varying parameter termed Poseudo-Jacobian Matrix (PGM), which contains the coupling information of each output variable. Further, simulation results show that MFAC has a very reliable tracking ability for the temperature adjustment of the gasification process.