Study On Beam Monitoring Satellite Formation Orbit Optimization And On-board Activity Planning Approach

GEO satellite beam monitoring mission planning technology is the key technology to ensure the successful completion of GEO satellite beam monitoring mission.The methods of formation orbit optimization and on-board activity planning for GEO satellite beam monitoring mission are mainly studied in this dissertation.The main contents and achievements of this dissertation are as follows:The method of formation orbit optimization is proposed for the top-level planning of GEO satellite beam monitoring mission.In order to minimize the monitoring mission time and satisfy the on-board fuel constraints of each monitoring satellite,a leader-follower formation based on the energy matching condition under J₂perturbation is firstly used to keep the formation configuration stable for long-term flight mission.Secondly,an optimization model is formulated to find the optimal formation-flying trajectory so that the accumulated monitoring profit of all GEO satellites can reach the threshold as fast as possible,in which the minimum monitoring profit of all GEO satellites is chosen as objective function.Finally,the controlled regressive orbits with multiple flight phases are designed to reduce fuel consumption of orbital maneuver according to the orbital drift law under J₂ perturbation.The simulation results show that the proposed approach can obtain the orbital plan of monitoring satellite formation with good performance.A domain modeling method and a global planning method for satellite on-board activity planning are proposed for the bottom-level planning of GEO satellite beam monitoring mission.In order to express well the planning domain knowledge of monitoring satellite on-board activity in the GEO satellite beam monitoring mission,a domain model of on-board activity planning is established based on predicate logic method,and a quadruple definition of the domain model is given.Based on the established domain model,an unconstrained global optimization method for on-board activity planning problem is proposed by combining differential evolution（DE）algorithm.The simulation results show that the proposed domain modeling method can accurately express the domain knowledge of satellite on-board activity planning,and the global optimization method can obtain the on-board activity execution scheme with good performance.A fast heuristic planning method for satellite on-board activities planning is proposed for the autonomous planning needs of GEO satellite beam monitoring mission.In order to enable the on-board activities to be autonomously planned by the on-board computer of monitoring satellite,a set of priority rules for on-board activity planning are designed based on the established domain model,and a precedence-rule-based heuristics for on-board activities planning is proposed.Three numerical examples of different scales are given to compare the proposed fast planning method with the global planning method.The simulation results show that the proposed precedence-rule-based heuristics can quickly obtain a satisfactory feasible scheme and the computation time does not increase with the increase of the number of on-board activities.In this dissertation,the proposed methods of formation orbit optimization and on-board activity planning are theoretically of significance for GEO satellite beam monitoring mission,which further enrich the solution method system of GEO satellite beam monitoring mission planning.Moreover,the research results of this dissertation can provide technical support for the successful implementation of the future GEO satellite beam monitoring mission,which is much of value in engineering practice.