A Computer Simulation Of An Induction Heating System - by PDF

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Hence we should assign a parameter whose levels are more difficult to change to columns on the left. For optimization of electromagnetic torque a quadratic quality loss function can be used and a largerthe-better characteristic that has to be continuous and non-negative L y A0 ˜ '20 ˜ 1 y 2 (1) where A0 is the loss at the tolerance ǻ0 for variable y. We would like the characteristic to be as large as possible and we do not have any adjustment factor. The objective function to be maximized in this case is given by K ª 1 §1 n 1 · 10 ˜ log10 ¨¨ ˜ ¦ 2 ¸¸ # 10 ˜ log10 « 2 © n i 1 yi ¹ ¬« P § V 2 ·º ˜ ¨¨1  3 ˜ 2 ¸¸» P ¹¼» © (2) where µ and ı are the mean and variance of the quality characteristics.

Every solution of magnetic field was consisted of a stationary spatial distribution of the magnetic vector potential. The electromagnetic torque was calculated directly from vector potential difference of a conductor according to [6]. The procedure of Taguchi method was adopted for this particular problem and shown with an orthogonal array including 25 consecutive experimental calculations. The main equations, figures and diagrams for calculated PMDC motor are presented and can be compared with recent results [7, 8].

The selection based on the roulette principle gives worse results than the method of remainders without repetitions. In the second case the algorithm gave higher averaged accommodation factor. • In case of modification consisting in transferring of the best individual and accommodation scaling similar results are obtained - the modifications improve the rate and accuracy of achieving the optimal point. • The use of a 4-processors computer enables shortening of computation timed by more than 60 percent.

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A Computer Simulation Of An Induction Heating System - Magnetics, Ieee Transactions On


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