Approximate fuzzy feedback linearization of amine gas sweetening plant via genetic algorithm

A. Ahmadi Orkomi, D. Babaei Pourkargar, R. Bozorgmehry Boozarjomehry

Research output: Contribution to conferencePaperpeer-review

Abstract

A new approach for static state feedback linearization of single input and multi-input systems is put forward. The approach can be applied to wider class of systems than the classical feedback linearization. The main idea is to transform the nonlinear system via a change of coordinates and static state feedback into a linear system with desired dynamics. This circumvents the need to transform the input vector fields into constant vectors in the new coordinates. An amine gas sweetening process has been simulated as a nonlinear system, then the system is linearized using the approximate fuzzy feedback linearization method. The rules of the fuzzy system have been optimized by genetic algorithm for better performance of linearizer. The results of this linearization have been analyzed and the performance of the linearized plant have been compared with original plant in different operating conditions. This is an abstract of a paper presented at the 7th European Congress of Chemical Engineering-7 and 19th International Congress of Chemical and Process Engineering CHISA (Prague, Czech Republic 8/28/2010-9/1/2010).

Original languageEnglish (US)
StatePublished - Dec 1 2010
Event19th International Congress of Chemical and Process Engineering, CHISA 2010 and 7th European Congress of Chemical Engineering, ECCE-7 - Prague, Czech Republic
Duration: Aug 28 2010Sep 1 2010

Other

Other19th International Congress of Chemical and Process Engineering, CHISA 2010 and 7th European Congress of Chemical Engineering, ECCE-7
CountryCzech Republic
CityPrague
Period8/28/109/1/10

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