2018
DOI: 10.1002/aic.16460
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Handling sensor faults in economic model predictive control of batch processes

Abstract: The problem of sensor fault detection and isolation (FDI) and fault‐tolerant economic model predictive control (FT‐EMPC) for batch processes is addressed. To this end, we first model batch processes using subspace‐based system identification techniques. The analytical redundancy within the identified model is subsequently exploited to detect, isolate, and handle the faulty measurements. The reconciled fault‐free measurements are then incorporated in an economic model predictive controller formulation. Simulati… Show more

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Cited by 12 publications
(6 citation statements)
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“…Second, to focus on the main research issues related to the effect of interchangeable design confronted in remanufacturing processing, this paper does not consider how the proposed mathematical formulation for product design can be integrated with product development technologies. However, Rashid et al [48] and Rashid et al [49] suggest that the product development technologies, particularly real-time optimization and economic control of production processes, can illustrate the improvement in economic performance under product design. As such, future researchers can extend models of this paper to address how the proposed mathematical formulation for product design can be integrated with product development technologies, such as real-time optimization and economic control of production processes.…”
Section: Future Research Opportunitiesmentioning
confidence: 99%
“…Second, to focus on the main research issues related to the effect of interchangeable design confronted in remanufacturing processing, this paper does not consider how the proposed mathematical formulation for product design can be integrated with product development technologies. However, Rashid et al [48] and Rashid et al [49] suggest that the product development technologies, particularly real-time optimization and economic control of production processes, can illustrate the improvement in economic performance under product design. As such, future researchers can extend models of this paper to address how the proposed mathematical formulation for product design can be integrated with product development technologies, such as real-time optimization and economic control of production processes.…”
Section: Future Research Opportunitiesmentioning
confidence: 99%
“…Thus, the precise diagnosis of incipient faults is a popular and difficult problem in the field of fault diagnosis. To solve this problem, domestic and foreign scholars have conducted some exploratory studies, mainly modeling and analyzing incipient faults based on analytical models, knowledge and data‐driven models 9,10 . Each of the three diagnostic frameworks have an inferior position.…”
Section: Introductionmentioning
confidence: 99%
“…To solve this problem, domestic and foreign scholars have conducted some exploratory studies, mainly modeling and analyzing incipient faults based on analytical models, knowledge and data-driven models. 9,10 Each of the three diagnostic frameworks have an inferior position. For example, starting with analyzing the evolution mechanism of the fault, analytical model-based fault diagnosis methods realize the discriminant analysis of incipient faults through residual feedback control.…”
Section: Introductionmentioning
confidence: 99%
“…The PTA production process was a typical heterogeneous azeotropic distillation system; the steady-state PTA simulation production process [10][11][12] was demonstrated elsewhere. However, among the variables of multiphase azeotropic distillation [13,14], the coupling was serious, characterized 2 of 16 by parameter sensitivity, multistability, nonlinearity [15][16][17], and, usually, nonconvergence, thereby greatly increasing the difficulty of control; some predictive control models were applied to solve these problems [18,19]. The importance of dynamic performance analysis of the HAc dehydration process was increasingly obvious.…”
Section: Introductionmentioning
confidence: 99%