Design of Asymmetric Space Optical Remote Sensor Active Thermal Control System by Multi-Objective Optimization

As for active thermal control problem of minimum power allocation in space optical remote sensor with large diameter, off-axis, symmetric structure, a power optimization method based on multi objective genetic algorithm is proposed in this paper. First of all, according to the spatial structure of the camera a finite element model is created. The next, heat distribution is divided by the experience of the designer's depending on the camera structural characteristics. Design variables and target variables are selected. Then, we plug the design variables and target variables into the multiple objective genetic algorithm and Pareto sets are obtained. Finally, suitable power allocation is selected from the set of optimal solution and substituted into the simulation model. Then the optimization of power distribution and temperature field are obtained. In this paper an off-axis three mirrors space camera is optimized and tested. After optimization and TMG simulation, the total temperature difference is reduced by 4. 76% under low temperature condition and 35. 7% under high temperature condition. The result of the heat balance shows that the temperature field of the whole camera is controlled within +/- 0.5 degrees C or less, which is far less than the target requirements of +/- 2 degrees C.