Fault detection and isolation and fault tolerant control of a catalytic alkylation of benzene process

Abstract In this work, we focus on the application of an integrated fault detection and isolation and fault tolerant control (FDIFTC) framework to a catalytic alkylation of benzene process. We consider that the catalytic alkylation of benzene process is controlled by a distributed model predictive control (DMPC) system and is subjected to unknown, persistent actuator faults. The FDIFTC system monitors closed-loop process residuals in order to detect and isolate a faulty actuator. After isolation of an actuator fault, the FDIFTC system estimates the fault magnitude, recalculates a new optimal operating point, and ultimately reconfigures the DMPC system to maintain stability of the process in an optimal manner. Extensive simulations are carried out to demonstrate the performance of the FDIFTC system from closed-loop stability and performance points of view.

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