DocumentCode :
1534608
Title :
A full step Newton method for the solution of a nonlinear magnetostatic optimization problem
Author :
Brandstätter, Bernhard ; Magele, Christian ; Ring, Wolfgang
Author_Institution :
Inst. for Fundamentals & Theory in Electr. Eng., Graz, Austria
Volume :
37
Issue :
5
fYear :
2001
fDate :
9/1/2001 12:00:00 AM
Firstpage :
3212
Lastpage :
3215
Abstract :
We consider a nonlinear magnetostatic field problem, where in a certain subdomain a cost functional (i.e., the magnetic field has to fulfill a prescribed figure) is defined. The optimization problem is stated in such a way that the field problem is treated as a constraint. A Lagrange function is established depending on the magnetic vector potential A, the current density J in coil segments and the vector of Lagrange multipliers λ. The derivatives with respect to the variables are set to zero to obtain the optimality system. The optimality system is solved applying full Newton steps without line search. For the left hand side of the Newton system the second derivatives of the Lagrange function are required while the first derivatives of the Lagrange function are written into the right hand side. Employing a finite element scheme to discretize the problem domain, we end up with a linear system of equations that has to be solved for each Newton step
Keywords :
Newton method; current density; electrical engineering computing; finite element analysis; magnetic fields; magnetostatics; optimisation; Lagrange function; coil segments; cost functional; current density; finite element scheme; full step Newton method; iterative solver; linear system of equations; magnetic vector potential; nonlinear magnetostatic optimization problem; optimality system; simple magnetic pole; vector of Lagrange multipliers; Coils; Constraint optimization; Cost function; Current density; Finite element methods; Lagrangian functions; Linear systems; Magnetic fields; Magnetostatics; Newton method;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/20.952579
Filename :
952579
Link To Document :
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