Simulation platform for robust control design using classical and evolutionary algorithms

Author

Dill, Gustavo K. ; Silva, Aguinaldo S. E.

Author_Institution

Dept. of Electromech. of the Fed. Catarinense Inst., Fed. Univ. of Santa Catarina, Florianopolis, Brazil

fYear

2014

Firstpage

1

Lastpage

7

Abstract

In this paper, a simulation platform to design robust controllers for electrical power systems is presented. Low order controllers with output feedback, including performance and robustness requirements are considered. The design is carried out using mono and multiobjective functions. Classical and evolutionary optimization algorithms are used to solve the formulated problems. The simulation platform is applied to a small test system, in order to clarify its characteristics and comparisons are made with the optimization methods and the objective functions.

Keywords

concave programming; control system synthesis; evolutionary computation; feedback; power system control; robust control; electrical power systems; evolutionary algorithms; evolutionary optimization algorithms; low order controllers; multiobjective functions; output feedback; robust controller design; simulation platform; test system; Damping; Eigenvalues and eigenfunctions; Linear programming; Optimization methods; Power systems; Robustness; Power systems; multiobjective functions; nonsmooth and nonconvex optimization; robust control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications (INDUSCON), 2014 11th IEEE/IAS International Conference on

Print_ISBN

978-1-4799-5550-3

Type

conf

DOI

10.1109/INDUSCON.2014.7059415

Filename

7059415