The principal objective of this research is to compare product selectivity results obtained using SPF algorithm with a proportional integral (PI) control algorithm, implemented using the Ott, Greborgi Yorke (OGY) scheme (Ott et al., 1990). To implement this algorithm, an observable system output is measured experimentally within the chaotic region and standard system identification techniques applied to quantify its behaviour and determine the control law. (Davies and Scott, 2001) used simple proportional feedback (SPF) algorithm proposed by (Petrov et al., 1992) to control the product concentration in the chaotic region of the CSTR through manipulation of the residence time of the reactor. Bifurcation studies on this system have been reported by (Abasaeed, 2000) and (Davies and Scott, 2001) where it was shown that chaotic behaviour is obtained over a range of reactor residence time values. In this system, two products are produced by a reaction scheme that exhibits non-linear feedback characteristics and properties of multi-stability, oscillations and chaos. The aim of this work is to investigate whether product selectivity may be improved by using feedback control of the product concentration for a chaotic autocatalytic reaction in a continuous stirred tank reactor (CSTR).

Control of product selectivity (the ratio of the quantity of desired product to the total quantity of products) is an important consideration for chemical processing in multi-product environments, specially when desired selectivity depends intrinsically on immediate market requirements.

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