Communications - Scientific Letters of the University of Zilina 2011, 13(11):74-78 | DOI: 10.26552/com.C.2011.2A.74-78

Passive Electronic Componets Parameters Searching with Differential Evolutionary Algorithm

Juraj Palecek1, Martin Vestenicky1
1 Department of Telecomunications and Multimedia, Faculty of Electrotechnical Engineering, University of Zilina, Slovakia

This paper describes computing of inductor parameters as passive electronic component with algorithm of differential evolution. Computing of parameters is based on substitute model of inductor which is described with three basic parameters such as resistance, inductance and capacitance. Measured frequency response of complex impedance of the real inductor is input parameter to the iterative loop driven by the differential evolution algorithm. There are three output parameters of the algorithm, where resistance value is considered to be a combination of DC coil resistance and skin effect influence, second value describes inductance of a real inductor and third parameter defines interturn parasitic capacitance of a real inductor.

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Published: July 31, 2011  Show citation

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Palecek, J., & Vestenicky, M. (2011). Passive Electronic Componets Parameters Searching with Differential Evolutionary Algorithm. Communications - Scientific Letters of the University of Zilina13(2A), 74-78. doi: 10.26552/com.C.2011.2A.74-78
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References

  1. PALECEK, J., VESTENICKY, M.: Real Passive Components Parameters Finding With Genetic Algorithm, Proc. of the 8th Int'l Conference ELEKTRO 2010, Zilina, Slovakia, 2010, ISBN 978-80-554-0196-6.
  2. LUCKA, M., PIECKA, S.: Multi-threaded ant Colony Optimization with Asynchronous Communications for the Vehicle Routing Problem, Communications - Scientific Letters of University of Zilina, Vol. 4, 2010, ISSN 1335-4205. Go to original source...
  3. LUDWIG, R., BOGDANOV G.: RF Circuit Design: Theory and Applications, New Jersey, USA, 2009, ISBN 978-0-13-147137-5.
  4. TICHA, D., MARTINEK, P.: OTA-C Lowpass Design Using Evolutionary Algorithms, Proc. of the 2005 European Conference on Circuit Theory and Design. Cork, University College Cork, 2005, Vol. 2, p. 197-200.
  5. STORN, R.; PRICE, K.: Differential Evolution - a Simple and Efficient Heuristic for Global Optimization over Continuous Spaces, J. of Global Optimization 11, pp. 341-359, 1997. Go to original source...
  6. PRICE, K., STORN, R. M., LAMPINEN, J.A.: Differential Evolution: A Practical Approach to Global Optimization Springer, ISBN 978-3-540-20950-8, 2005.
  7. KUNDERT, K.: Modeling Skin Effect in Inductors, The Designer's Guide, 2006.

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