Generic Model Control

Several process control design methods, such as the Generic Model Control (GMC) [41], the Globally Linearizing Control (GLC) [37], the Internal Decoupling Control (IDC) [7], the reference system synthesis [8], and the Nonlinear Internal Model Control (NIMC) [29], are based on input-output linearization. 

However, feedback linearizing control requires the knowledge of an accurate model of the process. Hence, in the presence of parametric model uncertainties, adaptive or robust control strategies have been proposed [4, 10, 18, 30] in [47], model uncertainties are tackled by adopting an Artificial Neural Network (ANN) in conjunction with different linearizing control strategies. 

The Generic Model Control (GMC) is a model-based control strategy developed by Lee and Sullivan in 1988 [41], It can be shown that GMC is an input-output linearization technique for processes with unitary relative order [31], 

The basic idea of GMC is that of imposing a desired closed-loop dynamics of the form 

1 The relative order of y with respect to u is the smallest integer //. such that Lg l/j 1 h / 0. 

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B.J. Cott, S. Macchietto, Temperature control of exothermic batch reactors using generic model control, Ind. Eng. Chem. Res. 28 (1989) 1177-1184. 

RL. Lee and R.B. Newell. Generic model control—a case study. Canadian Journal of Chemical Engineering, 67 478 183, 1989. 

X.Q. Xie, D.H. Zhou, and Y.H. Jin. Strong tracking filter based adaptive generic model control. Journal of Process Control, 9 337-350, 1999. 

W. Zhou and P.L. Lee. Robust stability analysis of generic model control. Chemical Engineering Communications, 117(1) 41—72, 1992. 

V Single-loop nonlinear extensions of PID controllers (e.g., gain-scheduling) or nonlinear model-based techniques like Generic Model Control (GMC) [13] or feedback-linearizing control [14] ... 

As discnssed in the section on System Configuration, thorough testing of generic models can be nsed to reduce the test burden for each individual control module or phase instance again, this needs to be well documented and controlled. 

It is possible to develop generic models for processes that are found in many companies— most of the operations in a refinery, e.g., are similar, regardless of the location. In these cases, an emulator can be developed. Even though it does not precisely mimic the behavior of a specific unit, an emulator is good for training new operators. The emulator does not have to be in the control room. Indeed it could be off-site. (Some of them are owned and operated by local colleges.)... 

Finite Volume and Finite Difference Methods for Modeling and Simulation, Fig. 3 A generic staggered control volume for discretization of the x-momentum equation... 

The previous sections have focused on a generic model of a very simple solvent, in which solvation dynamics is determined by molecular translations and reorientations only. These in turn are controlled by the solvent molecular mass, moment of inertia, dipole moment and short-range repulsive interactions. When the solvent is more complex we may expect specific structures and interactions to play significant roles. Stdl, numerical simulations of solvation dynamics in more complex systems lead to some general observations ... 

World Health Organization. 2010. Hazard Analysis and Critical Control Point Generic Models for Some Traditional Poods A Manual for the Eastern Mediterranean Region. Cairo, Egypt WHO Regional Publications Eastern Mediterranean Series. 

EPRI Report TR-107517, Volumes 1, 2, and 3, Generic Model Tests of Passive Autocatalytic Recombiners for Combustible Gas Control in Nuclear Power Plants, June 1997. 

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