A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors

This study focused on the design optimization of permanent magnet synchronous linear motors (PMSLM) that are applied in microsecond laser cutting machines. A new design optimization method was introduced to enhance PMSLM performances in terms of motor thrust, thrust ripple, and inductive electromotive force (EMF). Based on accurate 3D finite element analysis (3D-FEA), a multiple support vector machine (multi-SVM) was proposed to build a non-parametric quick calculation model by mapping the relation between multivariate structure parameters and multivariate operation performances. The gravity center neighborhood algorithm (GCNA) was also applied to search the global optimal combination of the structure parameters by locating the gravity center of the multi-SVM model. The superiority and validity of this method are verified by experiments.

[1]  Yan Liu,et al.  A method to locate neighborhood of global optimum , 2012, 2012 8th International Conference on Natural Computation.

[2]  Samarjit Sengupta,et al.  Analysis of stator current of induction motor used in transport system at single phasing by measuring phase angle, symmetrical components, skewness, kurtosis and harmonic distortion in park plane , 2014 .

[3]  Donghua Pan,et al.  Design Optimization of Air-Cored PMLSM With Overlapping Windings by Multiple Population Genetic Algorithm , 2014, IEEE Transactions on Magnetics.

[4]  Ebrahim Afjei,et al.  Analytical Design and FEM Verification of a Novel Three-Phase Seven Layers Switched Reluctance Motor , 2013 .

[5]  Noureddine Zerhouni,et al.  Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression , 2015, IEEE Transactions on Instrumentation and Measurement.

[6]  Wu-Ja Lin,et al.  A Fast Luminance Inspector for Backlight Modules Based on Multiple Kernel Support Vector Regression , 2014, IEEE Transactions on Components, Packaging and Manufacturing Technology.

[7]  L. Lebensztajn,et al.  Kriging: a useful tool for electromagnetic device optimization , 2004, IEEE Transactions on Magnetics.

[8]  Yves Perriard,et al.  Very-High-Speed Slotless Permanent-Magnet Motors: Analytical Modeling, Optimization, Design, and Torque Measurement Methods , 2010, IEEE Transactions on Industrial Electronics.

[9]  Shuhong Wang,et al.  System-Level Design Optimization Method for Electrical Drive Systems—Robust Approach , 2015, IEEE Transactions on Industrial Electronics.

[10]  Qinfen Lu,et al.  Thrust Ripple of a Permanent Magnet LSM With Step Skewed Magnets , 2012, IEEE Transactions on Magnetics.

[11]  Luigi Ferrigno,et al.  Multifrequency Excitation and Support Vector Machine Regressor for ECT Defect Characterization , 2014, IEEE Transactions on Instrumentation and Measurement.

[12]  Yun-Hyun Cho,et al.  Investigation of Auxiliary Poles Design Criteria on Reduction of End Effect of Detent Force for PMLSM , 2009, IEEE Transactions on Magnetics.

[13]  Shuxi Gong,et al.  LOW RCS DIPOLE ARRAY SYNTHESIS BASED ON MOM-PSO HYBRID ALGORITHM , 2009 .

[14]  G. Lei,et al.  Robust Design Optimization of PM-SMC Motors for Six Sigma Quality Manufacturing , 2013, IEEE Transactions on Magnetics.

[15]  Guang Fu,et al.  A Shorted Magneto-Electric Dipole with Γ-Shaped Strip Feed , 2009 .

[16]  Dan M. Ionel,et al.  A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study , 2011, 2011 IEEE Energy Conversion Congress and Exposition.

[17]  M.S. Salim,et al.  A new filled function method applied to unconstrained global optimization , 2016, Appl. Math. Comput..

[18]  Marina A. Tsili,et al.  Optimal design of multi-winding transformer using combined FEM, taguchi and stochastic-deterministic approach , 2012 .

[19]  Hany M. Hasanien,et al.  Particle Swarm Design Optimization of Transverse Flux Linear Motor for Weight Reduction and Improvement of Thrust Force , 2011, IEEE Transactions on Industrial Electronics.

[20]  Guang-Zhong Cao,et al.  Nonlinear Modeling of the Inverse Force Function for the Planar Switched Reluctance Motor Using Sparse Least Squares Support Vector Machines , 2015, IEEE Transactions on Industrial Informatics.

[21]  O. A. Mohammed,et al.  HIL-Based Finite-Element Design Optimization Process for the Computational Prototyping of Electric Motor Drives , 2012, IEEE Transactions on Energy Conversion.

[22]  Jonq-Chin Hwang,et al.  Design of High Performance Permanent-Magnet Synchronous Wind Generators , 2014 .

[23]  Shuhong Wang,et al.  System-Level Design Optimization Methods for Electrical Drive Systems: Deterministic Approach , 2014, IEEE Transactions on Industrial Electronics.

[24]  YE Zhong-quan A New Class of Filled Functions for Finding Global Optimization , 2010 .

[25]  Xian Liu,et al.  A Class of Continuously Differentiable Filled Functions for Global Optimization , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[26]  Fernando Pérez-Cruz,et al.  SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems , 2004, IEEE Transactions on Signal Processing.

[27]  Mei-Ling Huang,et al.  Application of the Extension Taguchi Method to Optimal Capability Planning of a Stand-alone Power System , 2016 .

[28]  Han-Pang Huang,et al.  Recognition of Electromyographic Signals Using Cascaded Kernel Learning Machine , 2007, IEEE/ASME Transactions on Mechatronics.

[29]  Cheng-Tsung Liu,et al.  Optimal Design of an SPM Motor Using Genetic Algorithms and Taguchi Method , 2008, IEEE Transactions on Magnetics.

[30]  Hany M Hasanien,et al.  Design Optimization of Transverse Flux Linear Motor for Weight Reduction and Performance Improvement Using Response Surface Methodology and Genetic Algorithms , 2010, IEEE Transactions on Energy Conversion.

[31]  Jianguo Zhu,et al.  Techniques for Multilevel Design Optimization of Permanent Magnet Motors , 2015, IEEE Transactions on Energy Conversion.

[32]  Gang Lei,et al.  Sequential Subspace Optimization Method for Electromagnetic Devices Design With Orthogonal Design Technique , 2012, IEEE Transactions on Magnetics.

[33]  A.M. Omekanda,et al.  Robust torque and torque-per-inertia optimization of a switched reluctance motor using the Taguchi methods , 2006, IEEE Transactions on Industry Applications.

[34]  Salman Mohagheghi,et al.  Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems , 2008, IEEE Transactions on Evolutionary Computation.

[35]  Su-Jin Lee,et al.  Optimal design of interior permanent magnet synchronous motor considering the manufacturing tolerances using Taguchi robust design , 2014 .

[36]  Ye San,et al.  Improved adaptive pruning algorithm for least squares support vector regression , 2012 .