شماره ركورد كنفرانس :
5048
عنوان مقاله :
APPLICATION OF ANT COLONY OPTIMIZATION ON PROCESS CONTROL; FCC CONTROL STRUCTURE
Author/Authors :
Omid ،Mohammadi Department of Chemical Engineering - Faculty of Engineering - University of Sistan and Baluchestan, Zahedan، Iran , Farhad ،Shahraki Department of Chemical Engineering - Faculty of Engineering - University of Sistan and Baluchestan, Zahedan، Iran , Jafar ،Sadeghi Department of Chemical Engineering - Faculty of Engineering - University of Sistan and Baluchestan, Zahedan، Iran , Amin ،Bashi Department of Chemical Engineering - Faculty of Engineering - University of Sistan and Baluchestan, Zahedan، Iran , Afshin ،Razmjouee Department of Chemical Engineering - Faculty of Engineering - University of Sistan and Baluchestan, Zahedan، Iran
كليدواژه :
optimization , ant colony optimization , FCC control
عنوان كنفرانس :
ششمين كنگره بين المللي مهندسي شيمي
چكيده لاتين :
Optimization is an important part of chemical engineering processes, the same as other branches of science. For a long
time, many optimization methods have been used which have some advantages and disadvantages. Ability of the
optimization algorithm for implementation in nonlinear problems and polynomial execution time are two important
characteristics of an algorithm needed for parameters optimization of PIP controller designed for a Fluid Catalytic
Cracking (FCC) unit. Modeling of unit is based on Alvarez-Ramirez but with some modifications. To control this
process as a MIMO control structure, transfer function of process defined in a NMSS structure then used the Ant
Colony Optimization (ACO) to estimate optimized parameters of weighting matrices. This optimization is based on
performance of controller (weighted Sum of Square Error and first derivative of inputs). This paper shows that ACO is
a flexible effective algorithm that can be used in all optimization problems.