Fault detection and isolation analysis and design for solution copolymerization of MMA and VAc process

Abstract

The problem of detecting and isolating distinguishable actuator and sensor faults in the solution copolymerization of methyl methacrylate and vinyl acetate monomers are considered in this work. To this end, first state estimates are generated using a bank of high-gain observers, and nonlinear fault detection and isolation (FDI) residuals are defined. The process dynamics are further analyzed to categorize fault scenarios as distinguishable and indistinguishable, and the necessary and sufficient conditions for the classification are presented. Subsequently, filters are designed that enable FDI for the distinguishable fault scenarios, with the advantage of detecting and confining possible locations for indistinguishable faults. The FDI filters are implemented on the copolymerization process, and the results compared with a linear model based filter design. Process Description and ModelIn this section, the methyl methacrylate (MMA) and vinyl acetate (VAc) solution copolymerization process is described, where monomers A (MMA) and B (VAc) are continuously fed Correspondence concerning this article should be addressed to P. Mhaskar at mhaskar@mcmaster.ca.

Distributed fault diagnosis of heating, ventilation, and air conditioning systems

“…We design the LFDI frameworks according to the results presented in Refs. and . The first inference from the design of the LFDI framework is that simultaneous actuator and sensor faults in cooling/heating coil and supply fan cannot be isolated.…”

Actuator and sensor fault detection and isolation for nonlinear systems subject to uncertainty

“…Fault detection and isolation (FDI) are critical components of a fault‐tolerant control system and are becoming increasingly important given the ubiquitousness of automation, from process industries to self‐driven vehicles. The FDI problem explicitly accounting for system nonlinearity has been considered widely in the literature during the past decade, with results often focusing only on actuator or sensor faults (see, for example, other works). In more recent results, the problem of distinguishing between sensor and actuator faults (albeit in the absence of uncertainty) is addressed.…”