Research On Satellite Sensor Resources Management And Detection Tasks Scheduling Problem For LEO Constellation Of Space-based Early Warning System

As an"eye"deployed in space by ballistic missile defense system (BMDS), space based early warning satellite system is an important part of BMDS. Early warning satellite system plays the key role in finding the enemy intercontinental missile strike as early as possible.and can provide the missile launch roughly position, the missile balls area, and limited ballistic information; And the United States is currently developing a new generation of early warning satellite System-"Space-based Tracking and Surveillance System"(STSS), and it can provide accurately tracking and surveillance ability for the ballistic missile free-flight. This paper references STSS system in the United States, gradually in depth research and discuss the satellite sensor resources management and early warning detection tasks scheduling problem.The satellite sensor resources management and early warning detection tasks scheduling problem are different from the traditional resources management and the task scheduling problem, first of all, the satellite sensor resource act periodic dynamic movement with the early warning satellite orbit around the earth; Secondly, the early warning constellation of LEO face extremely fast moving ballistic missile target. Therefore, the early warning detection task execution faces, random, and all sorts of dynamic uncertainty factors, and has the strong real-time requirement, and with the complex visible windows between satellite sensor resources and ballistic targets greatly increased the difficulty of resources management and tasks scheduling problem.The research content of this paper mainly includes the following aspects:(1) Based on the sensor resource management feedback constructing early warning detection task scheduling system closed-loop control mechanismThis paper reference multi-sensor data fusion system closed loop control structure and propose early warning detection task scheduling system closed loop control pattern based on the satellite sensor resources management, and specificly analysis the satellite sensor resources management function model and system architecture. As feedback part of the closed-loop control mode, the satellite sensor resource management subsystem can realize the real-time adjustment and iterative optimization of task scheduling system.(2) Analysing the early warning detection tasks scheduling problem based on rolling horizon control theoryRolling horizon control theory organic combinate feedback with optimization, its essence is a iterative optimization process with a series of small optimization problem solving process over time to replace a large scale optimization problem solving process to achieve optimization in the premise of the purpose of reducing calculation and uncertainty. This paper detailed analysis the problems such as early warning detection task scheduling time, scheduling strategy and scheduling evaluation, based on the theory of rolling horizon control, providing the solid theoretical basis for the establishment of early warning detection task scheduling model and design scheduling algorithm.(3) Constructing autonomous operation structure based on Multi-Agent's early warning detection task scheduling systemBased on the closed-loop control mode and rolling horizon scheduling theory, the paper proposes early warning detection task scheduling system autonomous operation structure based on Multi-Agent, this is current the inevitable trend of the development of multi-satellites system. And through analyzed and studied autonomy of the early warning satellite system, the early warning detection task scheduling system structure based on Multi-Agent, communication mechanism and consultation mechanism on in-depth analysis.(4) Constructing scheduling model and designing scheduling algorithmSome static and dynamic scheduling model was established, which based on rolling horizon scheduling windows and dynamic disturbance events points, and it designed the static scheduling algorithms of particle swarm optimazation based on genetic operation (GOBPSO) and dynamic scheduling algorithm based on negotiate mechanism of Multi-Agents(MANSA). The particle swarm optimization algorithm based on genetic operation is to solve rolling horizon scheduling problem, The scheduling algorithm based on negotiate mechanism of Multi-Agent is to solve dynamic disturbance events points scheduling problem.(5) Simulation system design and algorithm verificationWith long-range ballistic missile early warning detection task as the background, it constructed the prototype simulation system, and designed a typical experiment scheme, through the comparison of a number of algorithms, the simulation verified the optimization performance of GOBPSO algorithm and MANSA algorithm.This paper analysis and research in-depth satellite sensor resources management and early warning detection tasks scheduling problem of early warning satellite system from the two aspects of theoretical analysis and simulation test. The experimental results show that the proposed method and theory is effective, feasible, and it provides a good basis for further research.