Accurately assessing the microvibration effects on the line-of-sight (LOS) stability for the space laser communication terminal (LCT) is crucial for ensuring the long-term stability of communication links. To address this challenge, an integrated modeling approach is proposed to analyze the microvibration effects on the LOS stability for the space LCT. First, the LCT’s finite-element model, consisting of the off-axis telescope antenna and the rear optical path, is built to extract the nodes’ data of each surface on the optical element under the microvibration. Then the dual quaternion, which could avoid the solution error and insufficient generalization ability of the traditional least squares method, is used to calculate the surface’s rigid body displacement on the optical element. Furthermore, combined with the LCT’s optical sensitivity matrix obtained by the regression analysis method, the LOS jitter of the terminal is calculated to evaluate the LCT’s stability and guide the structural optimization. Finally, a test is conducted to validate the reliability of the integrated modeling approach. Simulation and experimental results show that the method proposed can further improve the accuracy of analysis and guide the structural optimization of LCT.
In the beam control system, the correction of optical axis is an essential process of the optical system. Adjusting the installation angle of the relay mirror is an effective way to change the optical axis direction. However, due to the forced deviation of the installation angle from the theoretical design value, the supporting structure will produce greater stress, which will affect the surface accuracy of the mirror. Therefore, we present an optimization method that can reduce the sensitivity of mirror surface. First, the surface sensitivity is introduced to measure the surface accuracy under the forced deflection angle. Second, the external response function of surface sensitivity is realized by combining dynamic link library and MATLAB. At last, the topological structure is optimized with the sum of the sensitivity weights of two cases as the objective function and the dynamic resonance frequency as the constraint. The optimized structure shows that the surface sensitivity around the x axis decreases from 2.58 nm / ± 1 ″ to 0.32 nm / ± 1 ″ , and the surface sensitivity around the y axis decreases from 3.75 nm / ± 1 ″ to 0.09 nm / ± 1 ″ .
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