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

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IFAC-PapersOnLine 2019年第11期52卷 85-90页

作者： Ricardo Massao Kagami Gilberto Reynoso-Meza Eduardo A.P. Santos Roberto Zanetti Freire Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná (PUCPR) Brazil

The Proportional-Integral-Derivative (PID) controller is widely used in industrial applications. 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.

关键词： Competition over resources algorithm controller tuning multi-objective problem multivariable control

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Hoshin Kanri and A3: a proposal for integrating variability into the policy deployment process

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TQM Journal 2019年第2期31卷 118-135页

作者： Tortorella, Guilherme Cauchick-Miguel, Paulo A. Gaiardelli, Paolo Federal University of Santa Catarina Florianopolis Brazil Department of Production and Systems Engineering Federal University of Santa Catarina Florianopolis Brazil Post-Graduate Program of Production Engineering Universidade de Sao Paulo Sao Paulo Brazil Universita degli Studi di Bergamo Bergamo Italy

Purpose: The purpose of this paper is to propose a methodology to support the Hoshin Kanri (HK) process taking into account the variance of senior managers’ perspective regarding the relationships among objectives, key performance indicators and continuous improvement (CI) projects. Design/methodology/approach: A four-step methodology incorporates the A3 report into the HK, whose deployment was weighted by the variability among managers’ perception about the importance of each decision. This methodology was applied in a market-leader Mexican auto parts manufacturing company that is undergoing a Lean Manufacturing (LM) implementation. Findings: The results indicate that the proposed methodology provides an easier approach to consolidate different perspectives and weight the importance of CI projects. Moreover, it minimizes the possibility of managerial conflicts or the influence of a determined senior manager on others’ opinions during the deployment and prioritization. Practical implications: This work may be of great interest to managers, consultants and professionals who deal with the implementation of LM and wish to prioritize the importance of CI projects within the perspective of HK. Originality/value: HK provides a systematic approach to integrate strategic management with daily routine management through an adequate deployment of organizational policies to all levels. However, companies usually struggle with several issues such as the style of senior managers and consensus establishment among different opinions, which emphasizes the relevance of the proposed methodology in this study. © 2018, Emerald Publishing Limited.

关键词： Managers

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Fuzzy model and particle swarm optimization for nonlinear identification of a Chua's oscillator

Fuzzy model and particle swarm optimization for nonlinear id...

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2007 IEEE International Conference on Fuzzy systems, FUZZY

作者： Araujo, Ernesto Dos Santos Coelho, Leandro IEEE Cx.P. 515 12.227-010 Sao Jose dos Campos SP Brazil Production and Systems Engineering Graduate Program PPGEPS Pontifical Catholic University of Parana Imaculada Conceicao 1155 80.215-901 Curitiba PR Brazil

ISBN: (纸本)1424412102

The identification of a nonlinear system with chaotic behavior denoted Chua's oscillator by using fuzzy models intertwined with particle swarm optimization (PSO) method is presented. This hybrid approach is applied to experimental data generated by an inductorless Chua's circuit that consists of an electronic chaotic oscillator. Chua's circuit has been used as a test platform by various scientific and engineering communities related to the study of chaos due its great potencial in technological applications, for instance, telecommunications, cryptography and physics. Fuzzy set theory has been evolved as a powerful modeling tool that can cope with uncertainties and nonlinearities in modeling and identification procedures. The identification of a optimized fuzzy model Takagi-Sugeno (T-S) fuzzy model involves two primary tasks: parameter tuning and structure optimization. The premise part of production rules is optimized here by using the particle swarm optimization method. In turn, least mean squares technique is applied to the consequent part of a T-S fuzzy model. Results indicate PSO method and Least Mean Square technique succeeded in constructing a T-S fuzzy model when dealing with chaotic dynamics obtained through experimental data supplied by inductorless Chua's electronic circuit. © 2007 IEEE.

关键词： Fuzzy set theory

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Distributed team's performance measurement capabilities: A model to evaluate systematic literature review result 22

Distributed team's performance measurement capabilities: A m...

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22nd International Conference on production Research, ICPR 2013

作者： Ferreira, P. Pinheiro, E. Gouvea, S. Pontifical University of Parana Graduate Program in Production and Systems Engineering R. Imaculada Conceicao 1155 Curitiba Parana Brazil

Companies are more commonly adopting the distributed teams' model, in order to increase their knowledge and skill set. In doing so the company will obtain several benefits, but it will lose its personal touch in managing their employees. Aiming to verify if this tradeoff is beneficial for the company, Performance Measurement systems are more and more being applied to distributed teams and to follow this growth researchers are consistently focusing on this area. Due to this focus the count of articles reporting developments in the required capabilities to form and manage distributed teams performance measurement system increases as well. Along the way some researchers are developing/applying different types of literature review on the subject in order to identify its growth and the main areas the topic is growing. Following this trend the author performed a systematic review on the theme "Which organizational capabilities/competences a company must have in order to manage/develop distributed teams performance?". This paper aims to present a model to evaluate such literature review in order to quantify and qualify the results to make it even more clearly to other researchers. Based on the results of the research, others will be able to compare the research areas and contribute with its development.

关键词： Capabilities Develop Distributed teams Performance measurement system

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Maintenance integration in a control-monitoring architecture based on Petri net with objects. Application to a flexible manufacturing system

Maintenance integration in a control-monitoring architecture...

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2006 IEEE Conference on Emerging Technologies and Factory Automation, ETFA

作者： Loures, E. Rocha Busetti De Paula, M.A. Pascal, J.-C. Graduate Program in Production System Engineering PUCPR Curitiba Brazil Laboratory for Analysis and Architecture of Systems LAAS/CNRS Toulouse France

ISBN: (纸本)1424406811

The problem of failure occurrence in flexible manufacturing systems (FMS) tends to increase according to their complexity leading to time-consuming tasks as the localisation and repairing. The occurrence of failures during the exploitation stage can deeply modify the FMS performances or its availability. We want to investigate the maintenance integration into a control-monitoring framework, from the control system's early design stage to the maintenance policies execution, so as to improve production time and minimize unplanned costly breakdowns of FMS. This paper proposes a modular and hierarchic control-monitoring-maintenance architecture (CMM) for FMS based on Petri nets with objects (PNO). These efforts acts as a basis for the control architecture of a robot-driven flexible cell, connected to the Ethernet-TCP/IP. © 2006 IEEE.

关键词： Flexible manufacturing systems

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Swim velocity profile identification by using a modified differential evolution method associated with RBF Neural Network

Swim velocity profile identification by using a modified dif...

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2013 3rd International Conference on Innovative Computing Technology, INTECH 2013

作者： Santos Coelho, Leandro Dos Da Cruz, Luciano Ferreira Freire, Roberto Zanetti Pontifical Catholic University of Parana - PUCPR Industrial and Systems Engineering Graduate Program - PPGEPS Curitiba PR Brazil Federal University of Parana - UFPR Department of Electrical Engineering - DEE/PPGEE Curitiba PR Brazil

ISBN: (纸本)9781479900473

High level sports require a steady intensification of training in order to raise the athletes' performance. With the purpose of support swimmers and coaches new biomechanical analysis are been performed, becoming one of the most studied areas in swimming. By using technology resources, Esignificant results related to performance improvements are being achieved. Specific analysis of the movements, strength, velocity and projection allow identifying relevant points that directly impact athletes' results. In this context, this work uses a Radial Basis Function Neural Network (RBF-NN) with training combining the Gustafson-Kessel clustering method and the proposed Modified Differential Evolution (MDE) in order to perform the swimmer velocity profile identification. The main idea is to obtain the dynamic of the velocity profile and to use it to improve the athletes' swim style. Differential Evolution (DE) is an evolutionary algorithm that uses a rather greedy and less stochastic approach to solve problems when compared to other evolutionary methods [1]. However, to achieve good performance with DE, the tuning of control parameters is essential as its performance is sensitive to the choice of the mutation and crossover settings. On the other hand, the RBF-NN is a powerful approach for nonlinear identification. This paper combines the two strategies described above proposing a modified DE algorithm based on the association of a sinusoidal signal and chaotic sequences generated by logistic map for the mutation factor tuning. By using data collected from breaststroke and crawl swim style of an elite female swimmer, the validity and the accuracy of the RBF-NN model have been tested by simulations. Results reveal that it is feasible to establish a good model to represent data experimental related to swimming field. Identification results show that MDE outperforms both other tested classical DE approaches for training RBF-NNs in terms of solution quality. © 2013 IEEE.

关键词： Optimization

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Towards a smart reconfiguration process for complex product manufacturing based on industrial robot cells

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IFAC-PapersOnLine 2022年第2期55卷 108-113页

作者： Murillo Skrzek Leandro L. da Silva Anderson L. Szejka Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) Curitiba Brazil

The cost for companies that can custom their production line with precision and quality, through machining centres and laser cutting machines, is expensive, as the degree of machining freedom increases. Furthermore, the greater the complexity of the product to be manufactured, the more processes and equipment are needed to manufacture it. In this context, this research proposes a smart reconfiguration process for complex product manufacturing, based on industrial robotic manipulators, with 6 or more degrees of freedom, superior to conventional methods. With the integration of SolidWorks and PowerMill software, it was possible to apply the solution in an experimental case of blisk manufacturing milling and laser cutting of an engine head gasket. With CAD, CAM and robot simulation by the PowerMill tool, it was possible to validate the proposed solution, obtaining process data and information of milling and laser cutting. With the analysis of the simulation results, it was possible to identify the limitations of the project, such as (i) restriction in the precision of the machining of the product; (ii) amount of real-time supervision and monitoring information; and (iii) work area limit. However, the project can integrate two manufacturing processes to machine and cut complex parts with flexibility.

关键词： Robotic manipulator Milling Laser Cutting Reconfigurable Manufacturing systems Complex Product Computer-Aided Manufacturing

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Improved multiobjective particle swarm optimization for designing PID controllers applied to robotic manipulator 4

Improved multiobjective particle swarm optimization for desi...

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4th IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2014

作者： Pierezan, Juliano Ayala, Helon H. V. Da Cruz, Luciano F. Freire, Roberto Z. Dos S. Coelho, Leandro Federal University of Parana- UFPR Electrical Engineering Graduate Program - PPGEE Curitiba Brazil Pontifical Catholic University of Parana - PUCPR Industrial and Systems Engineering Graduate Program - PPGEPS Curitiba Brazil Federal University of Parana - UFPR Department of Electrical Engineering - DEE/PPGEE Curitiba Brazil

ISBN: (纸本)9781479945313

In order to improve equipment efficiency in terms of performance, energy consumption and degradation for example, the industry has increased the use of control systems as the PID (proportional-integral-derivative) to a new baseline. This structure has few parameters to adjust and it is easy to implement practically. However, there are some requirements often included on multivariable systems that cannot be solved concurrently by classical methods. To solve this problem, the current paper approaches the application of Multiobjective Differential Evolution (MODE), Multiobjective Harmony Search (MOHS) and Multiobjective Particle Swarm Optimization (MOPSO) on multivariable PID controllers tuning. Moreover, an improved version of MOPSO (I-MOPSO) is proposed and its performance is compared with the other algorithms. In order to validate it under control systems, the optimization technique is applied on a two degree of freedom robotic manipulator. Finally, a detailed analysis is made on the I-MOPSO achievements. © 2014 IEEE.

关键词： Three term control systems

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Economic dispatch optimization using hybrid chaotic particle swarm optimizer

Economic dispatch optimization using hybrid chaotic particle...

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2007 IEEE International Conference on systems, Man, and Cybernetics, SMC 2007

作者： Dos Santos Coelho, Leandro Mariani, Viviana Coceo Industrial and Systems Engineering Graduate Program - PPGEPS Automation and Systems Laboratory Pontifical Catholic University of Paraná Imaculada Conceição 1155 80215-901 Curitiba Paraná Brazil Pontifical Catholic University of Paraná Mechanical Engineering Graduate Program PUCPR/PPGEM Imaculada Conceição 1155 80215-901 Curitiba Paraná Brazil

ISBN: (纸本)1424409918

Particle swarm optimization (PSO) is a population-based stochastic optimization technique, originally developed by Eberhart and Kennedy, inspired by simulation of a social psychological metaphor instead of the survival of the fittest individual. In PSO, the system (swarm) is initialized with a population of random solutions (particles) and searches for optima using cognitive and social factors by updating generations. PSO has been successfully applied to a wide range of applications, mainly in solving continuous nonlinear optimization problems. Based on the PSO and chaos theories, this paper discusses the use of a chaotic PSO approach hybridized with an Implicit Filtering (IF) technique to optimize performance of economic dispatch problems. The chaotic PSO with chaos sequences is the global optimizer and the IF is used to fine-tune the chaotic PSO run in sequential manner. The hybrid methodology is validated for a test system consisting of 13 thermal units whose incremental fuel cost function takes into account the valve-point loading effects. © 2007 IEEE.

关键词： Particle swarm optimization (PSO)

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Applications of multi-objective optimisation for PID-like controller tuning: a 2015-2019 review and analysis

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IFAC-PapersOnLine 2020年第2期53卷 7933-7940页

作者： Tainara Marques Gilberto Reynoso-Meza Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) CuritibaPR Brazil

The first open invited track in multi-objective optimisation for control systems was organised in 2017 with the idea of exchanging ideas and research about how those techniques are valuable for control engineers. Given that control engineering problems are generally multi-objective problems, multi-objective optimisation offers an interesting approach via the simultaneous optimisation of all design objectives. Controller tuning is not except from this. In this paper we perform a review and analysis of the literature, limited to the IFAC environment, to appreciate and detect new tendencies in controller tuning applications via multi-objective optimisation. Time window under consideration is from 2015 to date, coinciding with a previous review on the topic, as well as the emigration of IFAC proceedings to Elsevier.

关键词： Multi-objective optimisation Parametric optimisation Evolutionary Algorithms Intelligent Control Process Control

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