Research on dynamic path planning algorithm of spacecraft cluster based on cooperative particle swarm algorithm
نویسندگان
چکیده
In order to solve the problem of path planning for spacecraft cluster reach dynamic target point under premise considering obstacle avoidance. view fixed search radius, it will be difficult find a better value when is close point. This paper converts orbital dynamics each member into an optimization constraints, and proposes improved CPSO algorithm based on coordination. The method traditional particle swarm (CPSO): radius that changes by changing distance between them, improves this. autonomously finds optimal at current moment through thereby obtaining solution in three-dimensional space. simulation results show use can not only obtain problem, but also greatly reduce fuel consumption its improve stability spacecraft.
منابع مشابه
Research of Blind Signals Separation with Genetic Algorithm and Particle Swarm Optimization Based on Mutual Information
Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...
متن کاملResearch of Blind Signals Separation with Genetic Algorithm and Particle Swarm Optimization Based on Mutual Information
Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...
متن کاملresearch of blind signals separation with genetic algorithm and particle swarm optimization based on mutual information
blind source separation technique separates mixed signals blindly without any information on the mixing system. in this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. in these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. in order to evalu...
متن کاملRobotic path planning using hybrid genetic algorithm particle swarm optimisation
The problem of robotic path planning has always attracted the interests of a significantly large number of researchers due to the various constraints and issues related to it. The optimization in terms of time and path length and validity of the non-holonomic constraints, especially in large sized maps of high resolution, pose serious challenges for the researchers. In this paper we propose Hyb...
متن کاملResearch on evaluation algorithm of enterprise informatization maturity based on improved particle swarm optimization algorithm
In order to evaluate enterprise informatization maturity accurately and effectively, an improved particle swarm optimization algorithm based on BP artificial neural network is developed. Based on analyzing the working principle of particle swarm optimization algorithm, the improved algorithm encodes its particles, formats its fitness function, and updates its particle speed and position, improv...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Xibei gongye daxue xuebao
سال: 2021
ISSN: ['1000-2758', '2609-7125']
DOI: https://doi.org/10.1051/jnwpu/20213961222