DOI QR코드

DOI QR Code

Multi-Objective Optimal Design of a Single Phase AC Solenoid Actuator Used for Maximum Holding Force and Minimum Eddy Current Loss

  • Yoon, Hee-Sung (Dept. of ECE, Graduate School, Chungbuk National University) ;
  • Eum, Young-Hwan (Dept. of ECE, Graduate School, Chungbuk National University) ;
  • Zhang, Yanli (School of EE, Shenyang University of Technology) ;
  • Koh, Chang-Seop (School of ECE, Chungbuk National University)
  • Published : 2008.06.30

Abstract

A new Pareto-optimal design algorithm, requiring least computational work, is proposed for a single phase AC solenoid actuator with multi-design-objectives: maximizing holding force and minimizing eddy current loss simultaneously. In the algorithm, the design space is successively reduced by a suitable factor, as iteration repeats, with the center of pseudo-optimal point. At each iteration, the objective functions are approximated to a simple second-order response surface with the CCD sampling points generated within the reduced design space, and Pareto-optimal solutions are obtained by applying($1+{\lambda}$) evolution strategy with the fitness values of Pareto strength.

Keywords

References

  1. S. Yoon, J. Her, Y. Chun, and D. Hyun, "Shape optimization of solenoid actuator using the finite element method and numerical optimization technique," IEEE Trans. on Magn., vol. 33, no. 5, pp. 4140-4142, 1997 https://doi.org/10.1109/20.619689
  2. H. C. Roters, Electromagnetic devices, John Wiley & Sons, Inc., 1941, pp. 463-480
  3. T. Nakata, et al., Design and application of AC/DC electromagnets using FEM, Morikita Publishing Co., ISBN 4-627-74150-2, 1991, pp. 104-135
  4. Z. B. He, "Optimal design of the magnetic field of a high-speed response solenoid valve," Journal of Materials Processing Technology, Elsevier, vol. 129, pp. 555-558, 2002 https://doi.org/10.1016/S0924-0136(02)00633-7
  5. R. H. Myers and D. C. Montgomery, Response Surface Methodology, John Wiley & Sons, Inc., 2002, pp. 85-134
  6. I. F. Sbalzarini, S. Muller, and P. Koumoutsakos, "Multi-objective optimization using evolutionary algorithms," Center for Turbulance Research, Proceedings of the Summer Program, 2000, pp. 63-73
  7. K. Deb, Multi-objective optimization using evolutionary algorithms, John Wiley & Sons, Inc., 2004, pp. 261-269
  8. D. Han and A. Chatterjee, "Adaptive response surface modeling-based method for analog circuit sizing," Proceedings of IEEE International SOC Conference, 2004, pp. 109-112

Cited by

  1. Multi-Objective Optimal Design of a NEMA Design D Three-phase Induction Machine Utilizing Gaussian-MOPSO Algorithm vol.9, pp.1, 2014, https://doi.org/10.5370/JEET.2014.9.1.184