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

Improved multiobjective particle swarm optimization for desi...

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IEEE Symposium on Computational Intelligence in Control and Automation, CICA

作者： Juliano Pierezan Helon H. V. Ayala Luciano F. da Cruz Roberto Z. Freire Leandro dos S. Coelho 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 Department of Electrical Engineering — DEE/PPGEE Industrial and Systems Engineering Graduate Program — PPGEPS and Federal University of Parana — UFPR Curitiba Brazil

关键词： Optimization Manipulator dynamics Mathematical model Particle swarm optimization Vectors

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Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networks 22

Swim velocity profile identification through a Dynamic Self-...

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22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014

作者： Ayala, Helon V.H. Da Cruz, Luciano F. Coelho, Leandro S. Freire, Roberto Z. Pontifical Catholic University of Parana - PUCPR Industrial and Systems Engineering Graduate Program - PPGEPS Imaculada Conceição Curitiba Parana1155 Brazil Federal University of Parana - UFPR Department of Electrical Engineering - DEE/PPGEE Polytechnic School of UFPR Curitiba Parana Brazil

ISBN: (纸本)9782874190957

Technology has been successfully applied in sports, where biomechanical analysis is one of the most important areas used to raise the performance of athletes. In this context, this paper focuses on swim velocity profile identification using Radial Basis Functions Neural Networks (RBF-NN) trained by the Gustafson-Kessel clustering combined with a novel Dynamic Self-adaptive Multiobjective Harmony Search (DS-MOHS). One study case is analyzed, from real data acquired of an elite female athlete, swimming breaststroke style. Better results are obtained by DS-MOHS when compared with standard multiobjective harmony search in terms of accuracy and generalization of the model.

关键词： Radial basis function networks

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Sixth-order Compact Extended Trapezoidal Rules for 2D Schr(o)dinger Equation

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数学研究 2015年第1期48卷 30-52页

作者： Xiao-Hui Liu Yu-Jiang Wu Jin-Yun Yuan Raimundo J.B.de Sampaio Yan-Tao Wang School of Mathematics and Statistics Lanzhou University Lanzhou 730000 GansuP.R.China School of Mathematics and Statistics Lanzhou University Lanzhou 730000 GansuP.R.China Key Laboratory of Applied Mathematics and Complex Systems Lanzhou 730000Gansu P.R.China Department of Mathematics Federal University of Paraná Centro Politecnico CP:19.081 81531-980 Curitiba PR Brazil Graduate Program in Production and Systems Engineering Pontifical Catholic University of Paraná CEP: 81611-970 Curitiba PR Brazil

Based on high-order linear multistep methods (LMMs), we use the class of extended trapezoidal rules (ETRs) to solve boundary value problems of ordinary differential equations (ODEs), whose numerical solutions can be approximated by boundary value methods (BVMs). Then we combine this technique with fourth-order Padé compact approximation to discrete 2D Schrödinger equation. We propose a scheme with sixth-order accuracy in time and fourth-order accuracy in space. It is unconditionally stable due to the favourable property of BVMs and ETRs. Furthermore, with Richardson extrapolation, we can increase the scheme to order 6 accuracy both in time and space. Numerical results are presented to illustrate the accuracy of our scheme.

关键词： Schr(o)dinger equation BVMs ETRs compact scheme Richardson extrapolation

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A Zaslavskii Firefly Approach Applied to Loney's Solenoid Benchmark

A Zaslavskii Firefly Approach Applied to Loney's Solenoid Be...

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IEEE International Conference on systems, Man, and Cybernetics

作者： Leandro dos Santos Coelho Emerson Hochsteiner de Vasconcelos Segundo Viviana Cocco Mariani Marcia de Fatima Morais Roberto Zanetti Freire Industrial and Systems Eng. Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) and Department of Electrical Engineering Federal University of Parana (UFPR) Mechanical Engineering Graduate Program (PPGEM) Pontifical Catholic University of Parana (PUCPR) Mechanical Engineering Graduate Program (PPGEM) Pontifical Catholic University of Parana (PUCPR) and Department of Electrical Engineering Federal University of Parana (UFPR) Industrial and Systems Eng. Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR)

ISBN: (纸本)9781479938414

Nature-inspired algorithms of the swarm intelligence field perform powerfully and efficiently in solving global optimization problems. Inspired by nature, these metaheuristic algorithms have obtained promising performance over continuous domains of optimization problems. Recently, a new swarm intelligence approach called firefly algorithm (FA) has emerged. The FA is a stochastic paradigm based on the idealized behavior of the flashing characteristics of fireflies. However, to achieve good performance with FA, the tuning of control parameters is essential as its performance is sensitive to the choice of the randomization parameter (α) setting. This paper introduces a FA approach combined with chaotic sequences generated by Zaslavskii map (FACZ) to tune the randomization parameter. Simulations of Loney's solenoid benchmark problem examine the effectiveness of the conventional FA and the proposed FACZ algorithms. Simulation results and comparisons with the FACZ demonstrated that the performance of the FA is promising in the Loney's solenoid case.

关键词： Swarm intelligence Firefly algorithm Electromagnetic optimization Chaotic sequences Loney's solenoid

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Multistage Procedure for PI controller design of the Boiler Benchmark problem

Multistage Procedure for PI controller design of the Boiler ...

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IEEE Conference on Emerging Technologies and Factory Automation

作者： Helem Sabina Sanchez Gilberto Reynoso-Meza Ramon Vilanova Xavier Blasco Departament de Telecomunicacio i Enginyeria de Sistemes ETSE Universitat Autonoma de Barcelona (UAB) Industrial and Systems Engineering Graduate Program (PPGEPS) Pontificia Universidade Catolica do Parana (PUCPR) Instituto Universitario de Automatica e Informatica Industrial Universitat Politecnica de Valencia (UPV)

ISBN: (纸本)9781467379304

An multistage approach is proposed merging a deterministic and evolutionary algorithm for PI controller tuning. This technique is formulated through design of a multi-objective optimization procedure, to ensure the construction of Pareto frontier that guarantee well distribution and exclude the non-Pareto and local Pareto points. This procedure focuses on reliability-based optimization instances. To validate the approach, we will consider the Boiler Control Benchmark. The results of its usefulness for controller tuning is demonstrated.

关键词： Controller tuning PI controller Multi-objective optimization Hybrid techniques

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Photovoltaic Generation Potential of Paraná State, Brazil – A Comparative Analysis with European Countries

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Energy Procedia 2014年 57卷 725-734页

作者： Gerson Maximo Tiepolo Jair Urbanetz Junior Osiris Canciglieri Junior Trajano Viana Department of Electrical Engineering Technological Federal University of Paraná – UTFPR Avenida Sete de Setembro 3165 80230-901 Curitiba Paraná Brazil Graduate Program in Production Engineering and Systems – PPGEPS Pontifical Catholic University of Parana - PUCPR Rua Imaculada Conceição 115 80215-901 Curitiba Paraná Brazil Federal Center of Technological Education - CEFET/RJ Avenida Maracanã 229 20271-110 Rio de Janeiro Brazil

The theme of sustainable development has increasingly impacted the spheres of Brazilian society and has contributed to greater awareness to the need of natural resources conservation as well as issues on how to continue promoting socio-economic development of regions. One of the key issues for sustainable development is the generation of electricity with more use of renewable sources and, therefore, less environmental degradation. In this scenario, historically, Paraná State of Brazil has been one of the largest producers of electricity in the country, almost entirely from hydraulic source, due to the large existing river basin in the state. However, the use of this source in Brazil is declining due to depletion of water potential and also the pressure of society with respect to environmental, social and economic impacts caused by damming of rivers and flooding of cities and areas to form large reservoirs. To overcome these limitations, other sources have been studied and used, such as biomass and wind. Photovoltaic generation has been contemplated in Brazilian government policies only to supply electricity with off-grid systems in remote locations. However, due to the recent Resolution 482/2012 of ANEEL (Brazilian Electricity Regulatory Agency), which establishes rules for micro and mini-generation of electricity, it is possible that consumers install grid connected photovoltaic systems up to 1 MWp, as have been widely used in the urban environment installed or integrated on roofs as a form of distributed generation, particularly in Europe, where counts with installed capacity in GW range, while in Brazil it counts only with a few MW. Given this new perspective of growth of the Brazilian photovoltaic electricity generation this paper presents the potential of solar photovoltaic power generation in Paraná State, Brazil, with a comparative analysis with the potential presented by some European countries. The presented solar and photovoltaic maps uses irradiation data

关键词： Sustainable Development Renewable Energy Photovoltaic Generation Distributed Generation Public Policy

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On the Improvement of Elite Swimmers Velocity Identification by Using Neural Network Associated to Multiobjective Optimization

On the Improvement of Elite Swimmers Velocity Identification...

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International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)

作者： Elcio A. Bardeli Luciano F. Da Cruz Helon V.H. Ayala Roberto Z. Freire Leandro dos S. Coelho Industrial and Systems Engineering Graduate Program - PPGEPS University of Parana - PUCPR Curitiba Brazil Polytech. Sch. Ind. & Syst. Eng. Grad. Pontificia Universidade Catolica do Parana Curitiba PR BR Electrical Engineering Graduate Program - PPGEE Polytechnic School of the Federal University of Parana - UFPR Curitiba Brazil

Considering that technical skill is the major determinant characteristic of success among competitive swimmers, it is important to coaches to quantify the differences that make one swimmer more efficient than another. One of the most important grants in swimming is the velocity, which can be related to drag forces and provide substantial information about the swimmer technique. The main purpose of this study was to determine the best model to compare swimmers in terms of velocity. In this work, a Radial Basis Function Neural Network (RBF-NN) was used to model the nonlinearity of swim velocity time series. The RBF-NN parameters were adjusted by using four multiobjective optimization methods. The best results in terms of RBF-NN configuration were obtained by the Differential Evolution based algorithms.

关键词： Sociology Optimization methods Time series analysis Measurement Sorting

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Greening the supply chain: A model for green performance assesment 22

Greening the supply chain: A model for green performance ass...

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22nd International Conference on production Research, ICPR 2013

作者： Sellitto, M.A. Borchardt, M. Pereira, G.M. Silva, R.I. Production and Systems Engineering Graduate Program UNISINOS São Leopoldo RS Brazil

The purpose of this article is to introduce and test a model for green performance assessment in supply chains. The research method was the qualitative modeling. By literature review a model was proposed, consisting of three constructs described and appraised by categorical indicators: green strategy;green innovation;and green operations. The model originated a scale, with five degrees for the measurement of the indicators: very good=1;good=0.75;neutral=0.5;bad=0.25;very bad=0. An application was made in a supply chain of the footwear industry. Focal company managers were asked to distribute importance among the constructs and fulfill the scale. Outcomes obtained, with uniform distribution, and weighted by AHP methods, reached close to 40% of the maximum possible. The worst-performing construct and indicators were operations, reverse logistics and green distribution. Actions have been proposed to improve them.

关键词： Environmental management

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Model for supply chain performance measurement 22

Model for supply chain performance measurement

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22nd International Conference on production Research, ICPR 2013

作者： Sellitto, M.A. Pereira, G.M. Borchardt, M. Silva, R.I. Production and Systems Engineering Graduate Program UNISINOS São Leopoldo RS Brazil

This article presents a model for performance measurement in supply chains. The methodology had two-steps: a qualitative part to identify constructs and indicators and a quantitative one to measure them. The model has two dimensions: SCOR model process: source, make, deliver, and return;and priorities: cost, quality, delivery, flexibility. A 4 x 4 matrix resulted, weighted by AHP. In the cells, indicators, with ranges and five categories [very good, good, neutral, bad, very bad] were allocated to appraise the priority in the process. The ranges were set in the planning process of SCOR. An application was done in the hard core of a supply chain of the footwear industry, including 72 indicators in four suppliers;the focal company;three distribution channels;and a return channel. The SC overall performance reached near 80% of the maximum possible value. Worst performance was flexibility in deliver and delivery in make.

关键词： Supply chains

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