Papers by Keyword: Swarm

Abstract: The use of Unmanned Aerial Vehicles (UAVs) is increasing as their usage enhance many activities in our modern world. These include their specific roles in warfare, surveillance, agricultural activities, entertainments with attendant economic importance. In areas grappling with insecurity challenges due to banditry, kidnappings, oil spillage and theft, farmers and herdsmen clashes, utilizing more than one UAV in an area for surveillance is not only good but more advantageous. If many UAVs are used in an area at the same time, they are termed swarm or group of UAVs. Their operations in this manner, are seen as more scalable and reliable mode of using UAVs in current and future applications. Thus, usage of multiple UAVs that operate together as a cohesive unit are redundant and scalable, performing tasks that would be challenging or inefficient for a single UAV to accomplish. However, operating a group of UAVs as one unit can become expensive and risky if they are not properly coordinated. The UAVs may collide, causing catastrophic damage and requiring costly repairs. The need for autonomous coordination therefore comes from the vast number of vehicles, which might be intrinsic members of the system as a whole. Also, all UAVs in the swarm are to contribute to the effective execution of task without wasting resources. These imply that an intelligent coordination algorithm that implements awareness for swarm UAVs to avoid risky states is required. This paper presents the development and implementation of an algorithm for intra-swarm collision avoidance by treating each UAV in a swarm unit as individual agent capable of a homogenous number of tasks modelled as contours using their field of view and received signal strength indication.

Abstract: In this note a theoretical framework based on consensus of dynamic swarm systems is presented. Consensus is somewhat analogous to equilibrium, and it is the foundation for topics such as formation control and swarm stability in a decentralized viewpoint.

Abstract: The safety of agricultural products is a hot issue concerned by the whole society. Safety system of agricultural products is regarded as complex adaptive system in this paper and after analyzing the attributes and behaviors of Government Agent and Farmer Agent, these Agents are all seemed as adaptive agents and their behaviors follow the stimulus--response model. Besides, rule of obtaining profit, rule of changing production strategy, rule of changing honesty and rule of farmer moving are also established. Then based on these rules, a computer program for the system model has been done by Java on Swarm. And through changing the relevant parameters and variables in the model, the measures to improve the safety situation of agricultural products in China are obtained.

Abstract: In order to construct a swarm to accomplish the future space missions, e.g., space exploration, which will be unmanned and necessarily highly autonomous, some enable technologies should be first investigated deeply, such as deployment optimization, inter satellite link and collide avoidance. In this paper, an optimal model of deployment for satellite platforms is presented firstly, which is indeed an intrinsic multi-objective optimization model. Secondly, an inter satellite link based on free-space optical communication is designed to accomplish the information exchange among the notes in swarm. Thirdly, an effective collide avoidance strategy using potential function is put forward to reduce the lost of swarm notes during moving to the target location. With the technologies previously mentioned, swarm will exhibit the properties of self-protecting, self-healing, self-configuring, and self-optimizing compared with traditional large-size satellite. This work affords a strategy to achieve the concept mission, swarm-based space mission.

Abstract: According to unknown environment for swarm robots hunting problem to study, grid modeling method is to be used. And give 4 roles to the robots in the hunting process. Analysis swarm robots motion control strategy, to ensure hunting points. Formulate the move path with particle swarm optimization, and find out the optimal path to the hunting points. Simulation results show that the particle swarm algorithm combined with hunting process strategy feasibility and effectiveness.

Abstract: This paper argues that the phenomenon of industrial clusters is a kind of complex and dynamic process. With the heterogeneity of firms involved in clusters and their open connections with external environment being reasonably justified, the paper thinks that the evolution of industrial clusters should be observed and studied by the approach of computer simulation. Some factors from inside or outside, local or global, work together to drive the growth and decline of industrial clusters. Some implications are drawn through the analysis of the results by simulations designed on java-swarm platform. Suggestions are proposed accordingly.

Abstract: The task of load frequency controller (LFC) is to maintain the area generation–demand balance by adjusting the outputs on regulating units in response to deviations of frequency and tie-line power exchange. In this paper, the gain of an integral controller for a two area interconnected power system is designed based on the particle swarm optimization (PSO) technique. PSO is a population based stochastic optimization technique derived from simulation of simplified social model. Simulation results on a two area network revealed that the proposed approach optimizes the parameter of integral controller by selecting the optimal gain, which dampens the frequency oscillations and change in tie-line power to zero following a step disturbance.