Abstract

This analysis focused on looking for a method to optimize electromagnetic actuators in overall operating conditions. With disadvantages of slow convergence and poor accuracy, available optimization methods are difficult to achieve optimization results of electromagnetic actuators in overall operating conditions. In order to solve the problem, an optimization method suitable for overall operating conditions is proposed based on the electromagnetic difference model. The method combines advantages of the analytical method and finite element method. It uses numerical method to establish static characteristic sensitivity matrix of optimization system and parameter optimization results are obtained by optimizing difference model of target characteristics and current characteristics. In this study, a diesel speed electromagnetic actuator as an example, quantitative analysis of system parameters effect on static characteristics in overall operating conditions is done. Using the optimization method, in overall operating conditions, average electromagnetic force and standard deviation electromagnetic force of the electromagnetic actuator are optimized. The simulation results verify the optimization method is simple, effective and applicable.

Keywords:

Electromagnetic actuator, optimization, quantitative analysis, sensitivity matrix, static characteristics,

References

1. Encica, L., D. Echeverría, E.A. Lomonova, A.J.A. Vandenput, P.W. Hemker and D. Lahaye, 2007. Efficient optimal design of electromagnetic actuators using Space Mapping. Struct. Multidisc. Optim, 33: 481-491.
   CrossRef    
2. Enciu, P., L. Gerbaud and F. Wurtz, 2011. Automatic differentiation for sensitivity calculation in electro- magnetism: Application for optimization of a Linear actuator. IEEE T. Magn., 47(5): 1238-12411.
   CrossRef    
3. Fukuoka, M., K. Nakamura and O. Ichinokura, 2012. A method for optimizing the design of SPM type magnetic gear based on reluctance network analysis. Proceeding of the 20th International Conference on Electrical Machines, pp: 30-35.
   CrossRef    
4. Laurentiu, E., J.H.P. Johannes, A.L. Elena and J.A.A. Vandenput, 2008. Electromagnetic and thermal design of a linear Actuator using output polynomial space mapping. IEEE T. Ind. Appl., 44(2): 534-532.
   CrossRef    
5. Li, L., H. Zhao and Y. Wang, 2012. MDO approach for frictional electro- magnetic clutch design. J. Syst. Simul., 24(2): 314-317.
   
6. Nakamura, K. and O. Ichinokura, 2008. Dynamic simulation of PM motor drive system based on reluctance network analysis. Proceeding of the 13th Power Electronics and Motion Control Conference, pp: 758-762.
   CrossRef    
7. Neubert, H., A. Kamusella and J. Lienig, 2011. Optimization of an electro-magnetic linear actuator using a network and a finite element model. Int. Soc. Opt. Eng., 45: 7977-7983.
   
8. Oriol, G.B., G.A. Samuel, S.A. Antoni, D. Montesinos-Miraclea and L.F. Campanileb, 2007. Linear electromagnetic actuator modeling for optimization of mechatronic and adaptronic systems. Mechatronics, 17(2, 3): 153-163.
   
9. Yu, Q., C. Laudensack and D. Gerling, 2010. Improved lumped parameter thermal model and sensitivity analysis for SR drives. Proceeding of the International Conference on Electrical Machines, pp: 1-6.
   CrossRef    
10. Yucel, A.C. and E. Michielssen, 2012. Efficient GA- based electromagnetic optimization using HDMR-generated surrogate models. Proceeding of IEEE Antennas and Propagation Society International Symposium (APSURSI), 7: 1-2.
    CrossRef    
11. Yun-Dong, C., L. Xiao-Ming, L. Dong and W. Er-Zhi, 2006. Investigation of a dynamic neural network approach and its application of multivariable optimization to electrical apparatus. Proc. CSEE, 26(8): 112-116.
    
12. Zhai, G.F., Q.Y. Wang, X.K. Cheng and Z.J. Chen, 2010. Fast algorithm of dynamic characteristics of electromagnetic relay and its application on optimization. Proc. CSEE, 30(12): 106-110.
    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.