Particle Swarm Optimization And Its Application In Rendezvous And Docking Of Spacecraft

In the current space exploration activities, rendezvous and docking technology is indispensable. With the development of space technology, satellite constellation and satellite formation flying are more widely used in the military and civilian technology of many country, and play an increasingly important role. Among combined operation of these multi-satellite, space rendezvous and capture is an important support theory and technology of the target spacecraft rendezvous and docking and attack enemy targets, is a very complex and difficult aerospace technology in today's world, and is rapidly developing high-technology now.Space rendezvous technology is the process which two or more spacecraft flying in the air reach the same location at the same time through coordinating orbital parameters. Space rendezvous process generally consists of four stages: long-range guided stage, short-range homing phase, the final approach stage, approaching docking stage. Where, the long-range guided phase is an important component stage of spacecraft rendezvous and docking. This stage is the stage which often costs the biggest energy consumption and consumes longest time. It would be feasible to propose optimization problem to this phase because the fuel spacecraft carrying is limited. In the approaching docking stage, the use of binocular vision method to measure the relative position and attitude which proposed in recent years is very effective. And this process need to use the image matching technique which need process large amount of data. Therefore, it also would be feasible to make use of particle swarm algorithm to optimize its response time.This article focuses on the improvement of particles swarm optimization(PSO), and apply improved algorithm to the optimal orbit design and image matching. Main content is as following:Firstly, the principle of basic PSO algorithm is introduced, and the basic steps and procedure of PSO algorithm are proposed. The social behavior of PSO algorithm is analysised. Then two basic improvement methods are introduced.Secondly, I proposed several improved methods based on the shortcomings of PSO algorithm, and describes their basic processes. Then several standard test functions are used to test their effectiveness.Thridly, Lambert theorem is deduced, transformed Lambert theorem is acquired, and the target spacecraft moving time and energy consumptionΔv are calculated. Then the expression of objective function is getted. And use the improved PSO algorithm to solve optimal Lambert transfer. Simulation result shows that the improved method is feasible.Finally, the basic concept of image matching is introduced, and the harris corner detection operator and the LACC corner matching algorithm are detailed explained. Taking into account the real-time problem, I use PSO algorithm to obtain the transformed matrix and then reduce the match time.