Abstract:

We present an approach to realize multiobjective and multidisciplinary design optimization (MDO) of satellite payload. We first analyze the key techniques in multiobjective and multidisciplinary design optimization  of satellite payload system design, and establish  multidisciplinary analysis models including  antennas, transponders, data transmission, reliability, costs and qualities. Then multiobjective genetic algorithm is adopted to optimize the reliability and cost of the satellite payload system and the Pareto optimal set is obtained. Collaborative optimization which is one of the best feasible multidisciplinary design optimization approaches is integrated with the genetic algorithm to carry out the reliability optimization of single objective design. Results show that relationship among different disciplines are well considered during the multiobjective and multidisciplinary design optimization. Designers can choose satisfactory optimization results from the Pareto set according to their own specific requirements, design efficiency is therefore significantly improved. Collaborative optimization can help realize discipline autonomy and parallel design, improve design flexibility and reduce design cycle.

Key words: multidisciplinary design optimization;collaborative optimization;multi-objective genetic algorithm;reliability