Article ID Journal Published Year Pages File Type
10265908 Computers & Chemical Engineering 2005 11 Pages PDF
Abstract
In this paper, we extend recent results on adaptive extremum seeking control to a class of nonlinear distributed parameter systems. We address the real-time optimization of a chemical reaction that occurs in a tubular reactor described by an hyperbolic set of partial differential equations. An estimation and a control algorithm that take into account temperature constraints are developed based on a Lyapunov functional. We apply the algorithm to the on-line optimization of the Williams-Otto reaction where the kinetics are assumed a priori unknown. The result of this algorithm is a feedback profile control that steers the system to its optimum.
Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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