Process Imaging For Automatic Control (Electrical and by David M. Scott, Hugh McCann

By David M. Scott, Hugh McCann

As commercial methods and their corresponding keep watch over versions bring up in complexity, the information supplied by way of conventional aspect sensors is not any longer enough to make sure product caliber and low cost operation. technique Imaging for computerized keep watch over demonstrates how in-process imaging applied sciences surpass the constraints of conventional tracking platforms by means of delivering real-time multidimensional size and keep an eye on info. mixed with compatible information extraction and regulate schemes, such structures can optimize the functionality of a large choice of commercial processes.

Contributed by way of prime overseas specialists, strategy Imaging for automated keep watch over bargains authoritative, entire insurance of this new sector of approach keep watch over know-how, including:

  • Basic pursuits of strategy modeling and their software to automated control
  • Direct imaging units and purposes, corresponding to laptop imaginative and prescient and spatial size of stream pace, strain, shear, pH, and temperature
  • Various ideas, implementations, and photograph reconstruction equipment for approach tomography
  • Image enhancement and restoration
  • State estimation methods
  • State area regulate process types, keep watch over thoughts, and implementation issues
  • Five chapters dedicated to case experiences and complex applications

    From concept to sensible implementation, this publication is the 1st to regard the total variety of imaging concepts and their software to method keep watch over. providing extensive assurance with greater than 270 illustrations and approximately seven-hundred mentioned references, it provides an obtainable advent to this swiftly starting to be, interdisciplinary technology.

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    Additional info for Process Imaging For Automatic Control (Electrical and Computer Engineering)

    Sample text

    The next section briefly highlights the differences in modeling objectives that lead to process simulation and process optimization problems, before a number of relevant modeling techniques are reviewed in the context of process imaging and analysis. The final section of this chapter addresses practical issues in simulation and optimization for process design, diagnostics, and control on the basis of fluid separation processes. For details on the model development procedure, the reader is referred to the textbooks by Rice and Do [1]; Luyben [2]; Biegler, Grossmann, and Westerberg [3]; Abbott and Basco [4]; and Haykin [5].

    The set points are normally given as the steady-state design values, and the controller parameters have to be optimized. In some cases, the sensor dynamics and actor dynamics have to be considered. Muske and Georgakis [39] describe an optimal measurement system design procedure for chemical processes. In the commonly used flow-driven simulation procedure, the direction of the flow is specified a priori. The more realistic “pressure driven” simulation procedure is more complex, and thus more physical and process data need to be considered.

    Chemical Eng. 23:159–172, 1998. 24. FH Yin, CG Sun, A Afacan, K Nandakumar, KT Chuang. CFD modeling of mass-transfer processes in randomly packed distillation columns. Industrial Eng. Chemical Res. 39:1369–1380, 2000. fm Page 32 Tuesday, April 26, 2005 2:11 PM 32 Process Imaging for Automatic Control 25. JB Joshi, VV Ranade. Computational fluid dynamics for designing process equipment: Expectations, current status, and path forward. Industrial Eng. Chemical Res. 42:1115–1128, 2003. 26. RF Vianna, C McGreavy.

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