Multiobjective Particle Swarm Optimization to Design the Top Load of a Very Low Frequency Thirteen-Tower Umbrella Antenna.

In this paper, an innovative method for designing the top load of a very low frequency (VLF) thirteen-tower umbrella antenna based on multiobjective particle swarm optimization (MOPSO) is proposed. The design of the thirteen-tower umbrella antenna's top load mainly involves the sag and position distribution of the cables. On the basis of analyzing the influence of the cables' sag on the antenna's radiation efficiency, a MOPSO based on the Pareto optimality is used to optimize the location distribution of the antenna top load catenaries. The radiation resistance and static capacitance of the antenna can be both slightly improved when each diamond-shaped top load maintains 8 top load cables, while the radiation resistance and static capacitance of the antenna can be improved by more than 6% when each diamond-shaped top load is increased to 10 top load cables. [ABSTRACT FROM AUTHOR]