Application Of Optimizer In Analysis And Design Of Vehicular Electromagnetic Compatibility

The use of all kinds of electrical devices make up of a complicated electromagnetic environment. Researching the radiation of electrical devices and their work state under complicated environment is an important field of electromagnetic compatibility (EMC) subject. In the analysis of EMC problems, electrical system always working in complicated environment, and their shapes and structures are often complicated too. Due to the electrical large object which have irregularity in shapes and various kinds of components including lots of materials and forms like holes, slots, intracavities and loads, the analysis process is always influenced by complex electromagnetic physical process and system structure. Facing this, not only analytic method but also experimental media could not generally solve modern EMC problems, even less economy cost. From point of field, adopting modern computational electromagnetism (CEM) as a method is a proficient solution. In this paper, the radiation from commonly used devices and their effect caused by extern field is solved from the point of view of field.Genetic algorithms (GAs), developed by Holland, have been used extensively as an alternative method for solving numerical optimization problems in a wide variety of application domains including engineering, biology, economics, agriculture, business, telecommunications, and manufacturing and As a general-purpose search method, a GA combines elements of directed and stochastic search for exploring and exploiting the search space to obtain good solutions. In contrast to other stochastic searches, GAs have the following unique features: implicit parallelism, population-based search, independence of gradient information, and flexibility to hybridize with domain-dependent heuristics. These features often make them a preferable choice over traditional heuristics.Particle Swarm Optimization (PSO) is an evolution computing technology based on Swarm Intelligence. It is similar with the algorithm; it is a kind of optimization method based on group. The system makes one solution at random to be the initial value, searches optimum value through iterative. But it does not have the cross and variation operates used by algorithm, and then particle (potential solution) making the search follow optimum particle in solution assemble. Compare with the Genetic Algorithm (GA), PSO advantage lies in being simple and easy to realize and there is a deep intellectual background at the same time, not only suitable for scientific research but also especially suitable for project application. This passage has probed into the application on optimum overall arrangements of automobile antenna with the algorithm of particle swarm optimization.The automobile's electronic system is very complicated, seeing that the constant application of the micro electric technique, the high-frequency devices are increasing constantly in the automobile. The space of automobile is very narrow and small. In order to achieve the goal of communication, many devices have to be installed the antennas or have obvious antenna effects. These devices interfere to each other while working normally, so it is difficult to carry on EMC design of vehicular antennas position. In the technology of electromagnetic interfering, the interference characteristics of the antenna become an important problem which can't be ignored in EMC design. Under the ideal situation, it can make the system meet EMC rely on the space factor. But in fact, because the limit of the automobile space factor, so utilizing the space factor maximally to ensure system EMC can effectively reduce the input in other designs of automobile EMC.This passage consider isolation as a main factor to set up the mathematics model interfered among the vehicular antennas, and optimize and ask solving with particle swarm optimization algorithm and genetic algorithm, thus gained corresponding optimum solving. Compare with the hereditary algorithm, its efficiency and accuracy are both higher. The results have proved that because it turns the way of encoding of the antenna position coordinate into a real number code, so PSO is a kind of better analytical method for the vehicular antennas optimization., and it offer the theory and real support for the vehicular antennas optimization in electromagnetic compatible technology, plays a better guidance to the relevant problem in the actual project.