Simulation Analysis On Uncertainty Of Bundled Cables Coupling Effect

In recent years, the functions of aerospace and aircraft are becoming more and more complicated. To achieve these functions, a large number of bundled cables are needed in a limited space, which will cause the tough electromagnetic environment around the cables. Therefore, it is very important to predict the electromagnetic coupling level of stochastic cable in the research and development stage. In this paper, the simulation research on uncertainty analysis of the bundled cables coupling effect is carried out. This paper proposes the calculation model of per-unit-length parasitic electric parameters and uses the Generalized Polynomial Chaos method to analysis the uncertainty problem. The research i n this paper can improve the validity and practicability of the simulation research on uncertainty analysis of the bundled cables coupling effect, and reinforce the theoretical principle of pertinent cable electromagnetic compatibility simulation technology.First, the calculation model of per-unit-length parasitic electric parameters of double-conductor transmission line based on the method of images is proposed. From this model, combined with the electromagnetic field theory, the geometry parameters of cables can be converted to per-unit-length parasitic electric parameters. On this basis, used Lagrange interpolation, the double-conductor model can be extended to the multi-conductor, which can solve the problem of proximity effects effectively. The results from Ansoft Q3 D Extractor show that the results of calculation model proposed before are accurate, and the average relative error is within 1.05%, which can be used in the analysis of bundled cables coupling effect.The bundled cables coupling effect includes line-to-line coupling effect and field-to-line coupling effect, and the line-to-line coupling effect can also be called crosstalk. In order to analyze the crosstalk effect of random bundled cable s, this paper introduces the crosstalk model based on the theory of multi-conductor transmission lines, and solves it with deterministic frequency domain method. The results are verified by CST and experimental of crosstalk. Then take the geometry parameters of cables as the uncertainty parameters to establish the crosstalk random model of bundled cables and use the Generalized Polynomial Chaos method to analysis the uncertainty problem of double-conductor model and multi-conductor model. The results are verified by Monte Carlo method. The results show that, the average relative error of the Generalized Polynomial Chaos method is within 2.69%, and the computational efficiency can be increased by about 100 times. From these, the conclusion that the Generalized Polynomial Chaos method has both the high accuracy and efficiency can be got.In practical engineering application, the field-to-line coupling effect is used more widely. Similarly, this paper introduces the field-to-line coupling model based on the theory of multi-conductor transmission lines, and solves it with deterministic frequency domain method. The results are verified by CST. According to different uncertain parameters, the uncertainty problem of field-to-line coupling is divided into two kinds. One is taking the incident field parameters as the uncert ainty parameters; the other one is taking the geometry parameters of cables and the incident field parameters as the uncertainty parameters simultaneously. Use the Generalized Polynomial Chaos method to analysis the two kind uncertainty problems of double-conductor model and multi-conductor model. The results are verified by Monte Carlo method. The results show that, the average relative error of the Generalized Polynomial Chaos method is within 4.80%, and the computational efficiency can be increased by about 400~1000 times. So the Generalized Polynomial Chaos method is more efficient to improve the efficiency in complex cable coupling problem.