Source: http://www.proceedings.blucher.com.br/article-details/otimizao-multi-objetivo-aplicado-ao-projeto-de-um-estator-de-motor-de-induo-trifsico-11971
Timestamp: 2019-04-23 08:55:27+00:00

Document:
O projeto de sistemas de engenharia configura-se como um problema multi-objetivo. Este por sua vez, é inerentemente conflitante, isto é, a melhora em um dos objetivos acarreta piora no outro. Dentre as inúmeras aplicações que podem ser encontradas na literatura, o projeto de estator, componente que faz parte do motor e cuja função base é conduzir o fluxo magnético, configura-se como um interessante tema de pesquisa, já que está diretamente relacionado aos custos de fabricação de motores. Neste contexto, o presente trabalho tem por objetivo a formulação e a resolução de um estator de motor de indução trifásico considerando como objetivos a minimização do volume do estator e a maximização da eficiência via determinação do vetor de variáveis geométricas que caracterizam o modelo matemático apresentado. Para essa finalidade é utilizado o algoritmo MODE (Multi-objective Optimization Differential Evolution). Os resultados obtidos com o algoritmo MODE são confrontados com os aqueles obtidos pelo algoritmo NSGA II (Non-dominate Sorting Genetic Algorithm).
The design of engineering systems is configured as a multi-objective problem. This in turn, is inherently conflictual, that is, improvement in one objective results in worsening the other. Among the numerous applications which may be found in the literature, stator design, component which is part of the motor and whose function based is to conduct the magnetic flux, sets up as an interesting research topic, since it is directly related to motor manufacturing costs. In this context, this work aims the formulation and the resolution of a stator three phase induction motor considering as objectives to minimize the volume of the stator and maximize efficiency using determining the vector of geometric variables that characterize the mathematical model presented. For this purpose is used MODE (Multi-objective Optimization Differential Evolution) algorithm. The results obtained the MODE algorithm are compared with those obtained by the NSGA II (Non-dominate Sorting Genetic Algorithm) algorithm.
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 Phuangmalai, W., Konghirun, M., Chayopitak, N. 2013. A Design Study of 4/2 Switched Reluctance Motor Using Particle Swarm Optimization, ECTI Transactions on Electrical Eng., Electronics, and Communications, Vol. 11, nº 1, February.
 Price, K., Storn, R. 1997. Differential Evolution – A Simple Evolution Strategy for Fast Optimization, Dr. Dobb’s Journal, v. 22 (4), pp. 18-24, April.
 Raghuram, A., Shashikala, V. 2013. Design and Optimization of Three Phase Induction Motor Using Genetic Algorithm, International Journal od Advances in Computer Science and Technology, Vol. 2, nº 6, June.
 Storn, R., Price, K., Lampinen, J. A. 2005. Differential Evolution - A Practical Approach to Global Optimization. Springer: Natural Computing Series.
 Upadhyay, K. G. 2008. Design of Electrical Machines. New Age International Publishers. New Delhi, India.
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Malagoli, Juliana Almansa; Lobato, Fran Sérgio; Camacho, José Roberto; Luz, Mauricio Valencia Ferreira da; Ferreira, Jacson Hudson Inácio; "OTIMIZAÇÃO MULTI-OBJETIVO APLICADO AO PROJETO DE UM ESTATOR DE MOTOR DE INDUÇÃO TRIFÁSICO", p. 825-833 . In: Anais do Congresso Nacional de Matemática Aplicada à Indústria [= Blucher Mathematical Proceedings, v.1, n.1]. São Paulo: Blucher, 2015.
Agarwal, R. K. 2000. Principles of Electrical Machine Design. Katson Books. Babu, B. V., Sastry, K. K. N. 1999. Estimation of Heat-transfer Parameters in a Tricklebed Reactor using Differential Evolution and Orthogonal Collocation. Computers and Chemical Engineering. Bianchi, B., Bolognani, S. 1997. Brushless DC Motor Design: An Optimization Procedure Based on Genetic Algorithms, Conference Publication, nº 444, 1-3, September. Bianchi, N., Bolognani, S. 1998. Design Optimization of Electric Motors by Genetic Algorithms, IEE Proc. Electr. Power Application, Vol. 145, nº 5, September. Bianchi, N., Dai Pré, M., Grezzani, G., Bolognani, S. 2005. Design considerations on fractional-Slot Fault-Tolerant Synchronous Motors, IEEE. Deb, K. 2001. Multi-Objective Optimization using Evolutionary Algorithms, John Wiley Andamp; Sons, Chichester, UK, ISBN 0-471-87339-X. Goldberg, D. E. 1989. Genetic Algorithms in Search, Optimization, and Machine Learning, MA: Addison-Wesley. Hu, X., Coello Coello, C. A., Huan, Z. 2005. A New Multi-Objective Evolutionary Algorithm Derived from the Line-Up Competition Algorithm, Engineering Optimization, v. 37 (4), pp. 351-379. Lobato, F. S., Steffen Jr., V. 2007. Engineering System Design with Multi-Objective Differential Evolution, in Proceedings of the 19th International Congress of Mechanical Engineering. Lobato, F. S. 2008. Multi-objective Optimization to Engineering System Design. Tese, Escola de Engenharia Mecânica, Universidade Federal de Uberlândia, Brasil. Malagoli, J. A., Lobato, F. S., Camacho, J. R., Ferreira da Luz, M. V. 2014. Projeto de Estator de Máquina de Indução Trifásica Usando o Algoritmo de Evolução Diferencial. Simpósio de Mecânica Computacional e Encontro Mineiro de Modelagem Computacional, Vol. 1, (pp. 1-13), Juiz de Fora-MG, Brasil. Mariani, V. C., Lima, A. G. B., Coello, L. S. C. 2008. Apparent Thermal Diffusivity Estimation of the Banana during Drying using Inverse Method. Journal of Food Engineering, Vol. 85, pp. 569-579. Mittle, V. N., Mittal, A. 2009. Design of Electrical Machines. Standard Publishers Distributors, Delhi. Phuangmalai, W., Konghirun, M., Chayopitak, N. 2013. A Design Study of 4/2 Switched Reluctance Motor Using Particle Swarm Optimization, ECTI Transactions on Electrical Eng., Electronics, and Communications, Vol. 11, nº 1, February. Price, K., Storn, R. 1997. Differential Evolution – A Simple Evolution Strategy for Fast Optimization, Dr. Dobb’s Journal, v. 22 (4), pp. 18-24, April. Raghuram, A., Shashikala, V. 2013. Design and Optimization of Three Phase Induction Motor Using Genetic Algorithm, International Journal od Advances in Computer Science and Technology, Vol. 2, nº 6, June. Storn, R., Price, K., Lampinen, J. A. 2005. Differential Evolution - A Practical Approach to Global Optimization. Springer: Natural Computing Series. Upadhyay, K. G. 2008. Design of Electrical Machines. New Age International Publishers. New Delhi, India. Yasodha, S., Ramesh, K., Ponmurugan, P. 2012. Evolutionary Multi-objetive Optimization Algorithms For Induction Motor Design – A Study, International Journal of Emerging Technology and Advanced Engineering, Vol. 2, Issue 11, November.

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