Weighted Factor Multiobjective Design Optimization of a Reluctance Synchronous Machine

The relationship between the well-known competitive torque density and less-competitive power factor of reluctance synchronous machines (RSMs) is investigated in this study. The investigation was carried out by implementing a complete machine model in the optimization, with varying machine-pole number and flux-barrier number combinations. Furthermore, the study consists of a multiobjective design optimization implementing a weighted-factor optimization technique. Determination of the weighting of this specific parameter relationship enables the designer to select an optimum multiobjective relationship during optimization. A specific machine was selected for analysis, then analyzed and manufactured for validation of simulation results.

[1]  W. Marsden.  I and J , 2012 .

[2]  Gianmario Pellegrino,et al.  Effect of the numbers of slots and barriers on the optimal design of synchronous reluctance machines , 2014, 2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM).

[3]  Shigeo Morimoto,et al.  Torque ripple improvement for synchronous reluctance motor using an asymmetric flux barrier arrangement , 2003 .

[4]  C. Gerada,et al.  A SyR and IPM machine design methodology assisted by optimization algorithms , 2012, 2012 IEEE Energy Conversion Congress and Exposition (ECCE).

[5]  M. Sanada,et al.  Torque ripple improvement for synchronous reluctance motor using an asymmetric flux barrier arrangement , 2004, IEEE Transactions on Industry Applications.

[6]  Peter Tavner,et al.  Performance analysis and testing of a 250 kW medium-speed brushless doubly-fed induction generator , 2013 .

[7]  Rik W. De Doncker,et al.  Torque ripple reduction in Reluctance Synchronous Machines using an asymmetric rotor structure , 2014 .

[8]  S. Williamson,et al.  Direct finite element design optimisation of the cageless reluctance synchronous machine , 1996 .

[9]  Nicola Bianchi,et al.  Sensitivity analysis of torque ripple reduction of synchronous reluctance and interior PM motors , 2013, 2013 IEEE Energy Conversion Congress and Exposition.

[10]  Gianmario Pellegrino,et al.  Design of synchronous reluctance machines with multi-objective optimization algorithms , 2013, 2013 IEEE Energy Conversion Congress and Exposition.

[11]  Carole Henaux,et al.  Synchronous reluctance machine flux barrier design based on the flux line patterns in a solid rotor , 2014, 2014 International Conference on Electrical Machines (ICEM).

[12]  Maarten J. Kamper,et al.  Asymmetric Flux Barrier and Skew Design Optimization of Reluctance Synchronous Machines , 2015, IEEE Transactions on Industry Applications.

[13]  Reza Rajabi Moghaddam,et al.  Novel High-Performance SynRM Design Method: An Easy Approach for A Complicated Rotor Topology , 2014, IEEE Transactions on Industrial Electronics.

[14]  Gianmario Pellegrino,et al.  Optimal number of rotor parameters for the automatic design of Synchronous Reluctance machines , 2014, 2014 International Conference on Electrical Machines (ICEM).

[15]  Joaquim R. R. A. Martins,et al.  pyOpt: a Python-based object-oriented framework for nonlinear constrained optimization , 2011, Structural and Multidisciplinary Optimization.

[16]  Maarten J. Kamper,et al.  Flux barrier and skew design optimisation of reluctance synchronous machines , 2014, 2014 International Conference on Electrical Machines (ICEM).

[17]  Stiaan Gerber.  A finite element based optimisation tool for electrical machines , 2011 .