Autonomous Mission Planning Method And System Design Of Deep Space Explorer

In the 21st century, aerospace countries will focus all their attention on deep space exploration. Real-time control and operation of the spacecraft becomes a difficult problem because of the factors, including long distance away exploration targets and uncertain flight environment. The autonomous technology is an efficient method to solve the problem. It uses the on-board autonomous software system to finish the task which is finished by people on land traditionally and autonomous mission planning is an important part. Based on the scheme of exploration Ivar asteroid, this dissertation studied the mission planning technology and system design.Firstly, this dissertation studies three key problems in autonomous mission planning of the deep space explorer, including task serial planning, asteroids selection and planning for autonomous optical navigation and large angle slew planning of the explorer. Based on the solution of these problems, autonomous mission planning system of the deep space explorer is preceded. As will be stated next.State-based expanding planning algorithm is proposed to solve the task planning problem. This algorithm describes the domain of the spacecraft with the state method and expresses the task and constraint relation with state timeline. Based on the state description, task serial is obtained by expanding between single timeline and timelines.For the problem of navigation planning, the selection of the navigation signpost, asteroids and the planning of the photoing sequence are important matter. This dissertation proposes criterions, including visible magnitude, distance, relative velocity, angle of sight lines, on selection of asteroids, based on the trajectory scheme of exploring Ivar. Then navigation asteroids are selected under a integral evaluation, The planning of the photoing sequence is handled with an improved genetic algorithm, along with a difference selection method which optimizes the ratio of navigation evaluation to resource consumption.A single axis randomized expanding algorithm is proposed to solve the large angle slew maneuvers planning problem. This algorithm randomly produces...