Abstract
A parameterized dynamics analysis model of legged lander with adaptive landing gear was established. Based on the analysis model, the landing performances under various landing conditions were analyzed by the optimized Latin hypercube experimental design method. In order to improve the landing performances, a hierarchical optimization method was proposed considering the uncertainty of landing conditions. The optimization problem was divided into a higher level (hereafter the “leader”) and several lower levels (hereafter the “follower”). The followers took conditioning factors as design variables to find out the worst landing conditions, while the leader took buffer parameters as design variables to better the landing performance under worst conditions. First of all, sensitivity analysis of landing conditioning factors was carried out according to the results of experimental design. After the sensitive factors were screened out, the response surface models were established to reflect the complicated relationships between sensitive conditioning factors, buffer parameters and landing performance indexes. Finally, the response surface model was used for hierarchical optimization iteration to improve the computational efficiency. After selecting the optimum buffer parameters from the solution set, the dynamic model with the optimum parameters was simulated again under the same landing conditions as the simulation before. After optimization, nozzle performance against damage is improved by 5.24%, the acceleration overload is reduced by 5.74%, and the primary strut improves its performance by 21.10%.
Highlights
1 Introduction Legged lander has been used for deep space exploration because of its high landing stability and terrain adaptability [1]
In order to isolate vibration and reduce load during soft landing, the legged lander generally uses the plastic material such as honeycomb as the main absorber to design the landing gear. The performances of these landing gears are unable to be adjusted during soft landing
In order to cope with complex landing terrain, larger design margin should be reserved, resulting in the heavier soft landing system [2]
Summary
Legged lander has been used for deep space exploration because of its high landing stability and terrain adaptability [1]. With the continuous progress of deep space exploration, the terrain environment Considering those requirements, Adaptive landing gear was proposed as a possible solution. Previous studies mostly discussed the implementation of adaptive lander, and few concerned the soft landing performance optimization for the adaptive lander. Performance optimization is of great importance for the weight reduction of lander and it benefits the improvement of terrain adaptability. A dynamic analysis model of adaptive lander was established, and its soft landing performance was analyzed and evaluated. The results show that the optimization effectively improves the soft landing performance, which verifies the feasibility of the hierarchical optimization method
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