Abstract
A model predictive control (MPC) scheme integrated with a recently developed fault detection, isolation, and estimation (FDIE) system applied on a pulp mill (PM) process is discussed. This work belongs to a series whose objective is to achieve improvements on the fault tolerance characteristics for conventional and advanced control schemes. In two previous works, different decentralized control structures were integrated with the same FDIE system. It was tested for large chemical plants, such as PM and wastewater treatment plant (WWTP) processes. Each one offered different dynamics and fault scenarios, because of the specific impact produced by the abnormal events considered. For doing rigorous comparisons, the PM process is the same as that studied in one of the previous works. Although the FDIE system presents the same general structure, it must be redesigned, because of the inherent fault-tolerant characteristics of the classical MPC. In this context, it is more difficult to determine the patterns asso...
Published Version
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