Research On Multi-objective Optimization Large-area Coverage Strategy Based On Multi-satellite Collaboration

Satellite area coverage is an important problem in space research.It is important to consider the optimal coverage of the whole satellite system under the premise of multi-satellite cooperative Earth observation mission.Especially in the actual working scenario of satellite,it is often necessary to consider how to realize as many Earth observation tasks as possible with the least resource consumption.This problem can be abstracted as an optimization problem of multiple objective functions in mathematics,and then the objective functions can be calculated and covered by intelligent algorithms.Based on mathematical theoretical knowledge and algorithm architecture,this paper constructs cell generation algorithm,alternative coverage strip generation algorithm,strip screening algorithm,and judgment cell coverage algorithm for Jilin No.1 series satellite data to generate calculation data.Then,a multi-objective optimization model with the maximum coverage area,the minimum sum of the side swing angles and the minimum number of strips as the objective function is constructed by applying the relevant knowledge of the multi-objective optimization theory.Then,simulation verification was carried out for Sichuan,Jilin and Yunnan regions respectively.NSGA-II algorithm was used to select appropriate parameters to calculate the objective function iteratively and solve the model.At the same time,the Pareto solution set of the target region can be obtained,and finally the optimal coverage strategy can be given in the case of the lowest utilization of satellite resources.After selecting the optimal coverage strategy,in order to achieve the full coverage of the target region,the heuristic algorithm is combined with the secondary coverage,and finally the multi-star cooperative regional full coverage scheme with the lowest resource consumption is obtained.Finally,the proposed coverage scheme is compared with the traditional heuristic algorithm coverage scheme,and the advantages and disadvantages of the proposed method are analyzed.The results show that :(1)the algorithm in this paper can directly calculate and quantify the coverage area,side pendulum Angle and number of strips,which is more intuitive.(2)Under the premise of almost complete coverage of the target area,the coverage scheme selected in this paper has significantly lower strip overlap ratio than that obtained by the traditional heuristic algorithm,but the number of strips is slightly more than that obtained by the traditional heuristic algorithm.Moreover,because the number of coverage strips eventually formed by the algorithm in this paper is highly dependent on the coverage scheme selected by the decision-maker,more different results can be obtained by adjusting the selection scheme in practical application.(3)Compared with the traditional heuristic algorithm,the algorithm in this paper can provide a large number of coverage schemes under different objective function values,which greatly improves the choice space for decision-makers(4)The algorithm in this paper has more advantages in the case of limited resources.It can provide application space for practical mission observation in more scenarios,such as mission observation under limited satellite resources.