Search for Author, Title, Keyword
Constrained optimization of line-start PM motor based on the gray wolf optimizer
More details
Hide details
Institute of Electrical Engineering and Electronics, Faculty of Control, Robotics and Electrical Engineering, Poznan University of Technology, ul. Piotrowo 3A, 60-965 Poznań, Poland
Publication date: 2021-03-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(1):1–10
  • Constrained optimization procedure for the linestart permanent magnet motor.
  • The mathematical model of designed motor was developed on the basis of Finite Element Method (FEM).
  • The objective function contains product of multiplication of three maintenance parameters of the motor.
  • The performance reliability of three heuristic algorithm was compared, i.e. (a) GWO, (b) PSO, (c) BA and (d) GA.
This paper presents the algorithm and computer software for constrained optimization based on the gray wolf algorithm. The gray wolf algorithm was combined with the external penalty function approach. The optimization procedure was developed using Borland Delphi 7.0. The developed procedure was then applied to design of a line-start PM synchronous motor. The motor was described by three design variables which determine the rotor structure. The multiplicative compromise function consisted of three maintenance parameters of designed motor and one non-linear constraint function was proposed. Next, the result obtained for the developed procedure (together with the gray wolf algorithm) was compared with results obtained using: (a) the particle swarm optimization algorithm, (b) the bat algorithm and (c) the genetic algorithm. The developed optimization algorithm is characterized by good convergence, robustness and reliability. Selected results of the computer simulation are presented and discussed.
Amoiralis E I, Tsili M A, Kladas A G. Global transformer design optimization using deterministic and non-deterministic algorithms, Proceedings of the International Conference on Electrical Machines, Marssille, France, 2-5 September 2012,
Bacchus A, Tounzi A, Arguad J. P, Bouriquet B, Biet L, Macaire L, Le Menach Y. Estimation of FEM model parameters using data assimilationand its application to an electrical machine. IEEE Transactions on Magnetics 2016; 52(3),
Barański M, Szeląg W, Łyskawiński W. An analysis of a start-up process in LSPMSMs with aluminum and copper rotor bars considering the coupling of electromagnetic and thermal phenomena, Archives of Electrical Engineering 2019; 68(4): 933 - 946.
Bora T. C, Coelho L, Lebensztajn L. Bat-inspired optimization approach for brushless DC motor problem. IEEE Transactions on Magnetics 2012; 48(2): 947 - 950,
Cvetkovski G, Petkovska L, Leflcy P. Cuckoo search as a tool for optimal design of PM brushless DC motor. COMPEL 2018; 37(5): 1732 -1743,
Deng S, Brisset S, Clenet S. Comparative study of method for optimization of electromagnetic devices with uncertainty. COMPEL 2018; 37(2): 704 - 717,
Gao J, Liu J, Huang S, Huang K. Optimum Design of Permanent Magnet Synchronous Motor Based on Gene Handling Genetic Algorithms, Proceedings of the International Conference on Electrical and Control Engineering, Wuhan, China, 25-27 June 2010,
Hossain Mohammadi M, Silva R, Lowther D. A. Finding optimal performance indices of synchronous AC motors. IEEE Transactions on Magnetics 2017; 53(6),
Idziak P, Kowalski K, Nowak L, Knypiński Ł. FE transient analysis of the magnetostrictive actuator. International Journal of Applied Electromagnetics and Mechanics 2016; 51 (S1): 81 - 87,
Ilea D, Radulescu M. M, Gillon F, Brochet P. Particle-swarm optimized design of switched reluctance motors for light electric traction applications. Electromotion Journal 2010; 17(3): 23 - 29,
Jedryczka C, Knypiński Ł, Demenko A, Sykulski J. Methodology for cage shape optimization of a permanent magnet synchronous motor under line start condition. IEEE Transactions on Magnetics 2018; 54 (3),
Jedryczka C, Wojciechowski R, Demenko, A. Influence of squirrel cage geometry on the synchronization of the line start permanent magnet synchronous motor. IET Science, Measurement & Technology 2015; 9( 2): 197 - 203,
Joshi H, Arora S. Enhanced grey wolf optimisation algorithm for constrained optimisation problems. International Journal of Swarm Intelligence 2017; 3(2/3): 126 - 152,
Karnavas Y L, Chasiotis I D, Peponakis E L. Permanent magnet synchronous motor design using grey wolf optimizer algorithm. International Journal of Electrical and Computer Engineering 2016; 6(3): 1353 - 1362,
Knypiński Ł. Adaptation of the penalty function method to genetic algorithm in electromagnetic devices designing. COMPEL 2019; 38 (4):1285-1294,
Knypiński Ł, Nowak L. The algorithm of multi-objective optimization of PM synchronous motors. Przegląd Elektrotechniczny 2019; 95 (4):242-245,
Kohli M, Arora S. Chaotic grey wolf optimization algorithm for constrained optimization problems. Journal of Computational Design and Engineering 2018; 5: 458 - 472,
Kosucki A, Stawiński Ł, Malenta P, Zaczyński J, Skowrońska J. Energy consumption and energy efficiency improvements of overhead crane's mechanism. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2020; 22(2): 232 - 330,
Lei G, Zhu J, Gou Y, Liu C, Ma B. A review of design optimization method for electrical machines. Energies 2017; 1962(10),
Lewis M, Murray J. D. Modeling territoriality and wolf-deer interactions. Nature 1993; 366: 738 -740,
Li Y, Yang R, Zhao X. Reactive power convex optimization of active distribution network based on improved grey wolf optimizer. Archives of Electrical Engineering 2020; 61,(1): 117 - 131.
Madadi A, Motlagh Mosheni A. Optimal control of DC motor using Grey Wolf optimizer algorithm. Technical Journal of Electrical Engineering and Applied Science 2014; 4(4): 373 - 379.
Marcic T. A short review of energy-efficient line-start motor design. Przegląd Elektrotechniczny 2011; 87 (3): 119 - 122.
Meach D L. Alpha statue dominance, and divisions of labor in wolf packs. Canadian Journal of Zoology 1999; 77: 1196 -1203,
Mirjalili S, Mirjalili S. M, Lewis A. Grey wolf optimizer. Advances in Engineering Software 2014; 69: 46 - 61,
Moussouni F, Brisset S, Brochet P. Comparison of two multi-agents ACO and PSO for optimization of a brushless DC wheel motor. Intelligent Computer Techniques in Applied Electromagnetic Systems 2008: 3 - 10,
Mutluer M, Sahman A, Cunkas M. Heuristic optimization based on penalty approach for surface permanent magnet synchronous machines. Arabian Journal for Science and Engineering 2020; 45: 6751-6767,
Nowak L, Knypiński Ł, Jędryczka C, Kowalski K. Decomposition of the compromise objective function in the permanent magnet synchronous motor optimization. COMPEL 2015; 34(2): 496 - 504,
Sarac V. Performance optimization of permanent magnet synchronous motor by cogging torque reduction, Journal of Electrical Engineering 2019; 70(3): 218 - 226,
Shaari G, Tekbiyik-Ersoy N, Dagbasi M. The state of art in particle swarm optimization based unit commitment: a review. Processes 2019; 7(733),
Sorgdrager A J, Wang R, Grobler A J. Multiobjective design of line-start PM motors using the taguchi method. IEEE Transactions on Industrial Applications 2018; 54(5),
Sun K, Wang G, Lu Y. Optimization method of bevel gear reliability based on genetic algorithm and discrete element. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2019; 21(3): 186 - 196,
Wang Y, Filippini M, Bacco G, Bianchi N. Parametric design and optimization of magnetic gears with differential evolution method. IEEE Transactions on Industrial Applications 2019; 55(4): 3445-3452,
Yang X S, Gandomi A H. Bat algorithm: a novel approach for global engineering optimization. Engineering Computations 2012; 29(5): 464 - 483,
Yeniay Ö. Function methods for constrained optimization with genetic algorithms. Mathematical and Computational Application 2005; 10(1): 45 - 56,
Zang H, Zang S, Hapeshi K. A review of nature-inspired algorithm. Journal of Bionic Engineering 2010; 7: 232 - 237,
Zio E, Mellal M. System reliability-redundancy optimization with cold-standby strategy by an enhanced nest cuckoo optimization algorithm. Reliability Engineering & System Safety 2020; 201,
Zhao M, Wang X, Yu J, Bi J, Xiao Y, Zhan J.. Optimization of construction duration and schedule robustness based on hybrid grey wolf optimizer with sine cosine algorithm. Energies 2020; 13(215),
Zöhra B, Akar M, Eker M. Design of novel line-start synchronous motor rotor. Electronics 2019; 8(25),
Dynamic Stability Evaluation of an Integrated Biodiesel-Geothermal Power Plant-Based Power System with Spotted Hyena Optimized Cascade Controller
Arindita Saha, Puja Dash, Naladi Babu, Tirumalasetty Chiranjeevi, Mudadla Dhananjaya, Łukasz Knypiński
Performance analysis of selected metaheuristic optimization algorithms applied in the solution of an unconstrained task
Łukasz Knypiński
COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
Finite element analysis and experimental verification of high reliability synchronous reluctance machine
Wiesław Łyskawinski, Cezary Jędryczka, Dorota Stachowiak, Piotr Łukaszewicz, Michał Czarnecki
Eksploatacja i Niezawodnosc - Maintenance and Reliability
Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications
Bibi Emambocus, Muhammed Jasser, Aida Mustapha, Angela Amphawan
Sizing by optimization of line-start synchronous motor
Łukasz Knypiński, Frédéric Gillon
COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm
Łukasz Knypiński, Sebastian Kuroczycki, Fausto Márquez
An Efficient and Improved Coronavirus Herd Immunity Algorithm Using Knowledge-Driven Variable Neighborhood Search for Flexible Job-Shop Scheduling Problems
Xunde Ma, Li Bi, Xiaogang Jiao, Junjie Wang
Comparison of Meta-Heuristic Optimization Algorithms for Global Maximum Power Point Tracking of Partially Shaded Solar Photovoltaic Systems
Timmidi Nagadurga, Ramesh Devarapalli, Łukasz Knypiński
Sizing of the Switched Reluctance Motor for Electric Vehicles
V. Reddy, Bathina Venkateswararao, Łukasz Knypiński, Ramesh Devarapalli
2023 Progress in Applied Electrical Engineering (PAEE)