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Compressor stations in gas transmission systems consume significant amounts of energy. At present, operating policies for these stations in the face of varying demand are established either through off-line steady state optimization or by trial and error employing simulators. It is well known that the disregard for dynamics can lead to severe violations of the operating constraints and that trial...
Multivariable controllers are often avoided in the chemical process industries in favor of simpler, diagonal or block-diagonal controllers. Such "decentralized" controllers are desirable because they result in control systems with fewer tuning parameters. However, the ensuing simplicity in controller design must be weighted against the interactions which result from "ignoring"...
A general mathematical programming framework for multivariable model predictive control problems is presented. Existing model predicitive formulations, based on 1 and 2-norms (Quadratic Dynamic Matrix, Linear Dynamic Matrix, and Model Algorithmic Control) are discussed within the general framework. A new formulation, based on the ∞-norm, is introduced and developed. The characteristics of this formulation,...
A systematic approach is applied to the design of robust multivariable controllers for a fixed-bed, laboratory methanation reactor. A configuration in which both the inlet temperature and the total flow rate are employed as manipulated variables for the regulation of the outlet temperature is investigated. The IMC design procedure is applied in combination with recently developed analysis and synthesis...
The Internal Model Control (IMC) structure has been widely recognized as very useful in clarifying the issues related to the mismatch between the model used for controller design and the actual process. The structure also gives rise to a two step controller synthesis procedure, of which the second step deals with the design of a low pass filter such that robustness with respect to model-plant mismatch...
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