Eventos Anais de eventos
COBEM 2019
25th International Congress of Mechanical Engineering
PARAMETER ESTIMATION OF THE HYDRAULIC AMPLIFIER PLUS HYDRAULIC TURBINE USING METAHEURISTICS
Submission Author:
mariane bergamini , PR
Co-Authors:
mariane bergamini, Carla Eduarda Orlando de Moraes, Ádamo Oliveira, gustavo henrique costa oliveira, Gideon Leandro, Eduardo Parente Ribeiro
Presenter: Ádamo Oliveira
doi://10.26678/ABCM.COBEM2019.COB2019-0532
Abstract
In this paper, three metaheuristics to solve the problem of parameter estimation of nonlinear systems are studied and analyzed. These three metaheuristics (Differential Evolution, Lion Optimization Algorithm and Iterative Local Search) are evaluated using two benchmark test functions: Ackley and Rosenbrock. By using these functions, it is possible to analyze the performance of the metaheuristics, to verify its convergence and to show the similarity of its feasible solution. The metaheuristics also to be efficient in finding similar values of the global minimum of the benchmark functions. Moreover, these three metaheuristics are also applied in parameter estimation of hydraulic amplifier model plus hydraulic turbine belong to a Hydroelectric Power Plant based on actual data collected in the field. The estimated parameters by the metaheuristics are satisfactory because features a similarity with the output of the nonlinear system. In addition, the Friedman test is realized to show the degree of approximation of the feasible solutions and the statically difference between the metaheuristics applied in a nonlinear system.
Keywords
Differential Evolution, lion optimization algorithm, iterated local search, parameter estimation, Nonlinear systems
