Multispacecraft Electrostatic Tractor with Swarm Optimization
ثبت نشده
چکیده
In this paper we propose and analyse a multispacecraft approach to the problem of deflection of a NEO object. The Electrostatic Tractor is a concept where deflection occurs because of a satellite and the asteroid electrically charged interaction. Although the physical laws which describe this phenomenon are well established, a number of practical questions are still being investigated. There are technological uncertainties as well, as it is not clear by now how a satellite can sustain the voltage required for this objective with few fluctuations and interactions with the satellite subsystems. Some authors, like E. Messerchmidt [1] provide some calculations arguing that a bigger spacecraft will be needed with a number of specifications to isolate the other subsystems. Some models have been proposed so far, but none can predict exactly which will be the behaviour of the satellite-asteroid interaction. Therefore, it is advisable to think in a system formed by a number of satellites, which may co-ordinately contribute to the overall generated power. Given that a number of real-time complex decisions will have to be made in the approach phase to the asteroid as well, we propose a multisatellite solution. The dynamics of the entire multi-body system are simulated and analyzed in order to predict its time of response and adaptability. We propose a distributed control system with an artificial intelligence agent in every satellite, who will be capable of automatically drive the behaviour of every satellite. As the real composition and electrical response of the asteroid is far from being totally predictable, such an approach will have a better margin of success and a fast response to every possible deviation from the models from which the system had been designed. A number of different swarm intelligence strategies are simulated and analyzed in this paper using state-of-theart numerical simulators platforms such as Matlab and Simulink. In conclusion, electrostatic tractor is capable of deflecting a NEO like the Apophis asteroid, and the multisatellite concept with distributed artificial intelligence control allows counteracting the uncertainties existing in current models.
منابع مشابه
Adaptative particle swarm optimization algorithm with non-iterative electrostatic repulsion and social neighborhood Algoritmo de optimización por enjambre de partículas adaptativo con repulsión electrostática no iterativa y vecindad social
Bio-inspired algorithms are algorithms inspired in the nature commonly used for solving optimization problems. A class of the bioinspired optimization algorithms is swarm algorithms which mimic the collective behavior in animals. An example is Particle Swarm Optimization (PSO) based in the social behavior of bird flocking. This paper presents a variation on the basic PSO algorithm, called A2PSO...
متن کاملOn solving multiobjective bin packing problems using evolutionary particle swarm optimization
The bin packing problem is widely found in applications such as loading of tractor trailer trucks, cargo airplanes and ships, where a balanced load provides better fuel efficiency and safer ride. In these applications, there are often conflicting criteria to be satisfied, i.e., to minimize the bins used and to balance the load of each bin, subject to a number of practical constraints. Unlike ex...
متن کاملA Particle Swarm Optimization Method for Multimodal Optimization Based on Electrostatic Interaction
The problem of finding more than one optimum of a fitness function has been addressed in evolutionary computation using a wide variety of algorithms, including particle swarm optimization (PSO). Several variants of the PSO algorithm have been developed to deal with this sort of problem with different degrees of success, but a common drawback of such approaches is that they normally add new para...
متن کاملDynamic Search With Charged Swarms
Two novel particle swarm optimization (PSO) algorithms are used to track and optimize a 3dimensional parabolic benchmark function where the optimum location changes randomly and with high severity. The new algorithms are based on an analogy of electrostatic energy with charged particles. For comparison, the same experiment is performed with a conventional PSO algorithm. It is found that the bes...
متن کاملA particle swarm optimization method for periodic vehicle routing problem with pickup and delivery in transportation
In this article, multiple-product PVRP with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. A mathematical formulation was provided for this problem. Each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. To solve the problem, two meta-heuristic methods...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009