ICONS 2019 Paper Abstract


Paper ThA1AM.1

Kagami, Ricardo Massao (Pontifical Catholic University of Parana - PUCPR), Reynoso-Meza, Gilberto (Pontificia Universidade Católica de Paraná), Santos, Eduardo Alves Portela (Pontifical Catholic Univ of Parana), Zanetti Freire, Roberto (Pontifical Catholic University of Parana)

Control of a Refrigeration System Benchmark Problem: An Approach Based on COR Metaheuristic Algorithm and TOPSIS Method

Scheduled for presentation during the Regular Session "Advanced Μanufacturing and Industrial Control" (ThA1AM), Thursday, August 22, 2019, 10:50−11:10,

5th IFAC International Conference on Intelligent Control and Automation Sciences, August 21-23, 2019, Queen’s University Belfast, Northern Ireland

This information is tentative and subject to change. Compiled on November 29, 2021

Keywords Evolutionary/genetic algorithms for control, Process control, Modeling and identification


The Proportional-Integral-Derivative (PID) controller is a widely used structure in industrial area. In order to evaluate the performance of distinct types of controllers, several benchmark systems are available in the specialized literature. In this work, an alternative approach to tune PID controllers based on the Competition Over Resources (COR) metaheuristic optimization algorithm and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed to solve a vapor compression refrigeration system problem, which is a benchmark control challenge. The proposed technique considered the normalization of multiple cost functions to simplify the selection of two PIDs’ parameters, reducing the need of understanding the influences of cost functions variations in complex problems. The proposed controllers outperformed the base line controllers providing a performance index 68.39% better than the original approach. Finally, the proposed method was compared with other tuning methods.


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