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  • 1994 [2]

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Robust multivariable feedback design for an extractive distillation column
Author(s): P.S.V. Nataraj
Source: International Conference on Control '94, 1994, p. 1554 - 1559
Type: ConferencePaper
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In this paper, multivariable quantitative feedback theory (QFT) techniques are used to synthesize a robust feedback system for an extractive distillation column with a vaporous sidestream. The simplified state space model of Gilles and Retzbach (1983) for an extractive distillation column exhibiting sharp temperature profiles is adopted here. Large uncertainty of +20% is assumed in three key matrix elements of this model. The feedback design problem is to find the controller and prefilter matrices such that the stated tracking specifications are met, over the entire range of model parametric uncertainty. The fourth MIMO QFT technique of Yaniv and Horowitz (1986) is used to solve the design problem. The design is verified through extensive simulations in both frequency and time domains, for several plants picked from the plant uncertainty set. In all cases, the results obtained are quite satisfactory.

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Some recent results using symbolic algebra
Author(s): N. Munro, P. Tsapekis
Source: International Conference on Control '94, 1994, p. 7 - 12
Type: ConferencePaper
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This paper is concerned with the application of an algebraic language (known as Mathematica) to control engineering algorithmic problems. Several problems of significant interest to control engineers are considered. Two methods of computing the Smith-McMillan form are considered, and one approach to the creation of minimal state-space realizations is considered. Balanced minimal realizations, model-order reduction and minimal order matrix-fraction models are also examined. The algorithms implemented are all illustrated by examples.

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