Title :
Detecting and isolating sensor and actuator faults in solution copolymerization of MMA and VAc process
Author :
Shahnazari, Hadi ; Mhaskar, Prashant
Author_Institution :
Dept. of Chem. Eng., McMaster Univ., Hamilton, ON, Canada
Abstract :
In this work, we consider the problem of isolating actuator and sensor faults in the solution copolymerization of Methyl Methacrylate (MMA) and Vinyl Acetate (VAc) monomers. To this end, first a bank of high gain observers are designed. Subsequently, fault detection and isolation (FDI) filters are designed for the copolymerization process. The proposed nonlinear FDI filters are applied to the copolymerization process.
Keywords :
actuators; chemical industry; fault diagnosis; nonlinear filters; observers; polymerisation; MMA; VAc monomers; VAc process; actuator fault detection; actuator fault isolation; fault detection and isolation filters; methyl methacrylate; nonlinear FDI filters; observers; sensor fault detection; sensor fault isolation; solution copolymerization; vinyl acetate monomers; Actuators; Fault detection; Fault diagnosis; Inductors; Observers; Process control; Solvents;
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
DOI :
10.1109/ACC.2015.7170964
