Um método evolucionário para sintonia de controladores PI/PID em processos multivariáveis

Content Provider	Semantic Scholar
Author	Arruda, Lúcia Valéria Ramos De Swiech, M. C. S. Neves-Jr, Flávio Delgado, Myriam Regattieri
Copyright Year	2008
Abstract	Nonlinear multiple-input multiple-output (MIMO) processes which are common in industrial plants are characterized by significant interactions and nonlinearities among their variables. Thus, the tuning of several controllers in complex industrial plants is a challenge for process engineers and operators. This paper addresses the problem of simultaneously tuning n proportional-integral-derivative (PI/PID) controllers in a coupled multivariable process as a multi-criteria optimization problem. A multi objective genetic algorithm modified by a niching technique with castes formation is proposed to solve this problem. The optimization is carried out in two levels. In the first level a local function that considers both the integral time squared error (ITSE) and the minimum variance criteria is computed to separately evaluate the performance of each closed loop. Thereafter, a global cost function that considers all the loops is used to compute a set of solutions (a set of PI/PID parameters) to the optimization problem. The proposed system was applied to the control of a fluid catalytic cracking (FCC) unit, and its performance was compared to dynamic matrix control (DMC). The results show the applicability and effectiveness of the proposed method.
Starting Page	1
Ending Page	17
Page Count	17
File Format	PDF HTM / HTML
DOI	10.1590/S0103-17592008000100001
Alternate Webpage(s)	http://www.scielo.br/pdf/ca/v19n1/a01v19n1.pdf
Alternate Webpage(s)	https://doi.org/10.1590/S0103-17592008000100001
Volume Number	19
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article