Eventos Anais de eventos
COBEM 2019
25th International Congress of Mechanical Engineering
BIO-INSPIRED AND EVOLUTION ALGORITHMS - PID CONTROLLER TUNING, APPLIED TO A MOTOR-ELECTRIC DYNAMETER SYSTEM
Submission Author:
LEONARDO LIBANIO , DF
Co-Authors:
LEONARDO LIBANIO, Rudi van Els
Presenter: LEONARDO LIBANIO
doi://10.26678/ABCM.COBEM2019.COB2019-1232
Abstract
The aim of this paper is to analyze and test bio-inspired optimization algorithms in swarm intelligence and differential evolution to solve PID tuning problems in motor-dynamometer cost function resolution. The methodology used is defined in 03 steps. In the first step the algorithms are described; Particle Swarm Optimization - PSO and Differential Evolution Optimization - DE; and the cost function that represents the optimization problem. In the second step the results and discussions of the simulations performed with the development tool Matlab and Simulink will be presented. In the third step the results and discussions of the tests performed with the cost optimized function to control the internal combustion motor-electric dynamometer system will be presented. The selected cost function is nonlinear with representation from a transfer function of a motor-dynamometer system. In order to better observe the performance of the algorithms in the tests, the results obtained in the frequency and power control with characteristic tests for path tracking will be presented graphically.
Keywords
Bio-inspired algorithms, swarm intelligence, PID, Cost Function
