A Modified Micro Genetic Algorithm With Intergenerational Projection And Inverse Identification Of Material Properties Of A Printed Circuit Board

An inverse procedure is introduced to identify the material properties of a printed circuit board (PCB) and components mounted on it. A modified micro genetic algorithm (muGA) with intergenerational projection search technique is presented in this article to speed up the inverse searching process. The PCB is subjected to an enforced acceleration over a range of excitation frequencies and the frequency response is obtained computationally and experimentally. The frequency response at specific nodes on PCB and components are utilized as the input for the inverse procedure. Material properties that minimise the sum of the squares of the deviations between test and simulation results are inversely determined. The present inverse procedure can be used in a wide range of practical engineering problems.