Pretension optimization and verification test of double-ring deployable cable net antenna based on improved PSO

This paper addresses the pretension optimization of a double-ring deployable cable net antenna. PSO (particle swarm optimization) is employed and combined with TS (Taboo search) to obtain the optimal pretension. In addition, the optimized pretension of all cable net segments is divided into different groups to satisfy engineering applications. Finally, to verify the optimal solutions with the algorithm investigated in this paper, a scaled model was manufactured and relevant precision tests were taken, which illustrate that the improved PSO makes sense for the pretension optimization of cable net antennas.