The Research On Flight Attitude Planning Algorithm Of Low Observable Micro-satellite

As the micro-satellite is becoming more and more widely used in aerospace field, the problem of the survival and the security of micro-satellite is getting more and more attention. In this paper, through the planning of the flight attitude of the micro-satellite, the low-observability of the micro-satellite can be improved. So the viability of the micro-satellite has been improved. The paper can be summarized as the following parts:1.Based on the analyzing of the current situation and development of the low-observable technology of the micro-satellite, the idea of improving the low-observability of the micro-satellite by flight attitude planning has been put forward. According to the characteristics of the planning, the planning algorithms of route planning can be used in the planning of the flight attitude.2.Some analysis about the flight characteristics with the theory of aircraft dynamics has been done, and the concepts about threaten area, threaten equipment and threaten directions are defined. According to the analysis results, the model of threat level assessment and the plans about how to evaluate the threat cost are proposed.3.The program about how to evaluate the threat level is enacted. The program is based on the theory of multiple attribute decision making(MADM) and use the theory of analytic hierarchy process(AHP) to evaluate the threat level of threaten radar. And then illustrate the feasibility and effectiveness of the program.4.A static-environment algorithm based on A* algorithm is designed. The algorithm is improved by two methods. One is rarefaction and put the planning space into pieces, the other is combined with probabilistic roadmap method. The designed algorithm can find the optimal flight attitude of the planning space. It is suitable for the satellite which is controlled by the control center on the ground. The simulation results of the two algorithms show that the two algorithms can effectively improve the low observability of the micro-satellite.5.Two dynamic-environment algorithms are designed. One is based on the particle swarm optimization(PSO) and the other is based on the genetic algorithm(GA).The processes of the two algorithms are simple, and both of the algorithms have a small computational amount. They also have a low demand of the computational space. They are suitable for the situation when computational resource is limited. The results of the simulations show that they both improve the low observability of the micro-satellite.6.A fast planning algorithm based on the optimal flight attitude of the planning space is designed. It is based on the PSO. The key of the algorithm is the structure of the individual. Each one describes the whole flight attitude in a cycle. The algorithm has a low computational complexity and a high planning accuracy. The result of the simulation shows that the algorithm can effectively improve the low observability of the micro-satellite.