Hybrid observer for parameters estimation in ethylene polymerization reactor: A simulation study

Estimating unknown parameters in ethylene polymerization reactor using hybrid Fuzzy-SMO.Display Omitted Novel hybrid observer method combining fuzzy logic with sliding mode observer.The observer is able to estimate several parameters without redesigning the structure of the whole observer.The design is simple and easy to formulate.Provides fast and accurate estimation results in estimating the ethylene, butene and melt index in a polyethylene reactor. In this work, we proposed a novel hybrid fuzzy-sliding mode observer designed in such a manner that it can be utilized to estimate various parameters by simply using the related process model, without redesigning the structure of the whole observer. The performances and effectiveness of this hybrid observer are shown through numerical simulation based on a case study involving an ethylene polymerization process to estimate the ethylene and butene concentrations in the reactor as well as the melt flow index. It can be concluded that the proposed hybrid observer provides fast estimation with a high rate of accuracy even in the presence of disturbances and noise in the model. This hybrid observer is also compared with the sliding mode, extended Luenberger and proportional sliding mode observers to highlight its effectiveness and advantages over these observers.