Skip to main content

Solving Inverse Electromagnetic Problems by the Lagrange Method

  • Chapter
Inverse Problems in Electric Circuits and Electromagnetics
  • 1319 Accesses

Abstract

In this chapter we shall consider an effective method for solving inverse electromagnetic problems by applying Lagrange multipliers. In this chapter we shall also explore the properties and features of this method for practical use. In Section 4.1, we shall examine the application of Lagrange multipliers as continuous functions for electromagnetic optimization problems. When derived, the equations for field potentials and auxiliary adjoining functions can be used to show how to construct the boundary conditions for these functions and the algorithm for the numerical solution of optimization problems. Furthermore, in Section 4.2 we illustrate, through a number of examples, the procedure of finding field sources of the adjoining function, including the appropriate equations. The search for optimum distribution of a substance in a space can be carried out in various classes of media such as homogeneous, non-uniform, isotropic, nonlinear, etc. In Section 4.3, we shall also consider an algorithm for variations of the medium properties, allowing one to achieve local minima of the objective functional. Specific features of the method and its numerical realization will be considered by means of practical examples and application of benchmark problems in Section 4.4. Section 4.5 deals with the problems of computing values. In Section 4.6 some issues of the Lagrange method application for solution of optimization problems in non-stationary electromagnetic fields will be discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Reklaitis, G.V., A. Ravindran, and K.M. Ragsdell (1983). Engineering Optimization, New York: John Wiley and sons.

    Google Scholar 

  2. Demirchian, K.S., and V.L. Chechurin (1986). Electromagnetic fields computing (in Russian). Moscow: High School.

    Google Scholar 

  3. Vasiliev, F.P. (1981). Methods for Extreme Problems Solution (in Russian). Moscow: Nauka.

    Google Scholar 

  4. Korn, G.A., and T.M. Korn (2000). Mathematical Handbook for Scientists and Engineers: Definitions, Theorems, and Formulas for Reference and Review, New York: Dover Publication.

    Google Scholar 

  5. Bendsoe, M., and O. Sigmund (2003). Topology Optimization-Theory, Methods, and Applications. New York: Springer-Verlag.

    Google Scholar 

  6. Park, I.H., et al. (2002). Comparison of Shape and Topology Optimization Methods for HTS Solenoid Design. Korea-Japan Joint Workshop Appl Supercond and Cryog, Seoul, Nov. 14–15:32–33.

    Google Scholar 

  7. Allaire, G. (2002). Shape Optimization by the Homogenization Method. New York: Springer.

    MATH  Google Scholar 

  8. Yoo, J., N. Kikuchi, and J.L. Volakis (2000). Structural optimization in magnetic devices by the homogenization design method. IEEE Trans Mag, vol 36, no3:574–580.

    Article  Google Scholar 

  9. Chechurin, V.L., and A.E. Plaks (1996). The procedure of optimization of magnetic structure. IEEE Trans Mag, vol 32, no 3:1278–1281.

    Article  Google Scholar 

  10. Cherkaev, A. (2000). Variational methods for structural optimization. New York: Springer-Verlag.

    MATH  Google Scholar 

  11. Gibianski, L.V., K.A. Lure, and A.V. Cherkaev (1988). Optimization of thermal flux by the inhomogenious medium (in Russian). J of Tech Phys, vol 58:67–74.

    Google Scholar 

  12. Chechurin, V.L., M.V. Eidemiller, and A.G. Kalimov (2001). Comparison of Lagrange Multipliers and Constrained Quasi-Newton Methods in Magnetic Shape Optimization. Rec 13 th Compumag Conf Comp Electromag Fields, vol IV:1332–1333.

    Google Scholar 

  13. Haug, E.J., K.K. Choi, and V. Komkov (1985). Design Sensitivity Analysis of Structural Systems. New York: Academic press.

    Google Scholar 

  14. Byun, J., and S. Hahn (1997). Optimal Design of Induction Heating Devices Using Physical and Geometrical Sensitivity. Proc Fourth Japan-Korea Symp Elect Eng, Seoul: 55–58.

    Google Scholar 

  15. Park, I.H., et al. (1996). Design sensitivity analysis for transient eddy current problems using finite element discretization and adjoint variable method. IEEE Tram Mag, vol 32:1242.

    Article  Google Scholar 

  16. Kwak, I., et al. (1998). Design Sensitivity of Electro-Thermal Systems for Exciting-Coil Positioning. Intern Journ of Appl Electromag and Mech, vol 9, no 3:249–261.

    MathSciNet  Google Scholar 

Download references

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Science+Business Media LLC

About this chapter

Cite this chapter

(2007). Solving Inverse Electromagnetic Problems by the Lagrange Method. In: Inverse Problems in Electric Circuits and Electromagnetics. Mathematical and Analytical Techniques with Applications to Engineering. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-46047-5_4

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-46047-5_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-33524-7

  • Online ISBN: 978-0-387-46047-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics