Integrative optimum design for Nano-satellite´s radiator surface and heat insulation layers based on chaos genetic algorithm

Passive thermal control system is very important for nano-satellite´s temperate control and its working safety. The design of radiator surface and heat insulation layers´ thickness are two important points for the design of nano-satellite´s passive thermal control system. A thermal dynamic model for nano-satellite´s thermal system was presented by lumped parameter method. And the expressions of the three lumped units´ temperatures were calculated. To keep the devices´ temperature (T_i), the heat radiator´s temperature (T_r) and the heat insulation layers´ temperature (T_s) at suitable working levels, nano-satellite´s radiator surface and heat insulation layers´ thickness are optimized based on chaos genetic algorithm (CGA). The optimization using simple genetic algorithm (SGA) is also carried out as comparison, and results showed that CGA is more effective in solving this optimization problem.