Mixed Variable Multi-objective Optimization of Tension Cable Antenna on Satellite
Di Jiejian,Duan Baoyan,Qiu Yuanying,Luo Ying
(School of Mechtronics Engineering , Xidian University, Xi'an 710071, China)

Abstract: Multi-objective optimization model of large space net-shape deployable antenna was established. Regarded the adjusting force and adjustable cable number as the design variables, the minimum adjustable vertical cables and RMS of reflector as objective functions respectively, the stress and frequency as con straints, the optimization of shape adjustment with Genetic algorithm was perfor med. The optimum result indicates that the adjustable vertical cable number and onerous engineer labor are effectively decreased during shape adjustment, while the accuracy of net-shape surface is improved via the optimization adjustment method with relatively fewer adjust-ment times.
Keywords: deployable antenna, root mean square, genetic algorithm, shape adjustment.