An optimization design method based on the combination topology optimization and DOE experimental design is proposed. The relationship among weight, stiffness and deformation of key components of the balanced main bearing structure is continuously optimized by comprehensive optimization method. Through a large number of examples to complete the search for the optimal solution, and then to achieve the main bearing structure stiffness, stability and weight optimal solution design. The design results show that the optimization design method based on the combination of topology optimization and DOE experimental design can greatly improve the design efficiency and completion quantity. The specific product designed by this method has been applied to the main bearing structure of an optical remote sensor. The bearing structure size reaches 3m, the load capacity is 700kg, and the weight is less than 110kg, which has good stability. This design method can be extended to other large size, small weight requirements and high stability structural parts design process, and has to wider application prospect.
Multi angle camera is the main load of carbon monitoring satellite, and its main application is to improve the accuracy of parameter inversion through multi-directional observation of Bidirectional Reflectance coefficient (BRDF) of forest vegetation. The retrieval accuracy of forest parameters has a strong correlation with the sensitive angle BRDF, which requires that the multi angle camera has a high LOS pointing stability. In this paper, a method to calculate LOS stability based on the rigid body motion and sensitivity matrix of optical elements is proposed. In order to solve the problem that the coordinate system between the sensitivity matrix of optical elements and its rigid body motion is inconsistent, the rotation matrix of each optical element is introduced in the calculation process, and the formula for calculating LOS pointing deviation is given. Finally, according to the formula, the LOS change of the system under this working condition is obtained through simulation analysis of an actual working condition, and compared with the optical software simulation method, the calculation results are consistent, and the calculation method is correct. It can provide a new way to calculate the LOS stability of other remote sensors.
The application of space-borne lidar data in forestry is mainly focused on the inversion of forest parameters. However, there are many complex input parameters in the GORT(geometrical optical radiation transmission) model used in space-borne large-spot full-waveform lidar echo simulator, which are difficult to obtain and rely on empirical formulas. As a result, there is no unified and complete forest space model. In this paper, We perform data processing and feature parameter extraction on point cloud data, then we establish a forest echo model including sensor design parameters, vegetation and ground parameters in the target area, and laser radiation transmission characteristics. We compared the simulated forest echo wave with the corresponding GLAS wave in the experimental area. The results show that the correlation coefficient between the simulated forest echo waveform and the GLAS waveform is greater than 0.80.
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