摘要 :
In this paper, the distributed cooperative jamming task of multiple unmanned aerial vehicles(multi-UAVs) for multiple targets is studied. In view of the mapping relationship between the biological behavior mechanism and the cooper...
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In this paper, the distributed cooperative jamming task of multiple unmanned aerial vehicles(multi-UAVs) for multiple targets is studied. In view of the mapping relationship between the biological behavior mechanism and the cooperative jamming task of multi-UAVs, the circle formation control method of multi-UAVs and the self-organizing method of dynamic resource allocation based on the improved biological pheromone(biopheromone) mechanism are proposed. The UAV continuously adjusts its position in accordance with the real-time order in jamming orbit to realize uniform control. Compared with the traditional pheromone mechanism, the improved biopheromone mechanism contains both attracting and inhibiting pheromone with the positive and negative feedback, and the pheromone contains the information of the targets. Each UAV carries a pheromone map, and makes decisions autonomously according to the type and concentration of pheromone. With the distributed control structure and the limited distance communication between multi-UAVs that incorporate the improved biopheromone, each UAV can adapt itself to the changes of the internal and external environment. The convergence performance, external response capability and internal scalability of the method under different conditions are simulated and analyzed, the multi-UAVs system can respond quickly and achieve the jamming task.
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摘要 :
In this paper, the distributed cooperative jamming task of multiple unmanned aerial vehicles(multi-UAVs) for multiple targets is studied. In view of the mapping relationship between the biological behavior mechanism and the cooper...
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In this paper, the distributed cooperative jamming task of multiple unmanned aerial vehicles(multi-UAVs) for multiple targets is studied. In view of the mapping relationship between the biological behavior mechanism and the cooperative jamming task of multi-UAVs, the circle formation control method of multi-UAVs and the self-organizing method of dynamic resource allocation based on the improved biological pheromone(biopheromone) mechanism are proposed. The UAV continuously adjusts its position in accordance with the real-time order in jamming orbit to realize uniform control. Compared with the traditional pheromone mechanism, the improved biopheromone mechanism contains both attracting and inhibiting pheromone with the positive and negative feedback, and the pheromone contains the information of the targets. Each UAV carries a pheromone map, and makes decisions autonomously according to the type and concentration of pheromone. With the distributed control structure and the limited distance communication between multi-UAVs that incorporate the improved biopheromone, each UAV can adapt itself to the changes of the internal and external environment. The convergence performance, external response capability and internal scalability of the method under different conditions are simulated and analyzed, the multi-UAVs system can respond quickly and achieve the jamming task.
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This paper proposes a conceptual design framework for engineering design, where the design concepts consist of both structure and material that deliver the required functions. There has been no existing design model or framework t...
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This paper proposes a conceptual design framework for engineering design, where the design concepts consist of both structure and material that deliver the required functions. There has been no existing design model or framework that explicitly considers material at the conceptual design stage. The work is important because some functions may only be achievable by materials, and material phenomena may have to be exploited for some specific requirements. It may not be able to develop effective or feasible design concepts without taking material into account. To address this problem, this paper proposes a number of design strategies and methods, such as direct function-structure/material mapping; behaviour-assisted mapping; behavioural process-assisted mapping; procedure of applying these mapping methods; hierarchical conceptual design process representation; design knowledge libraries; etc. To illustrate the proposed conceptual design framework and design methods, a software prototype has been developed and presented, and a design case is also studied.
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摘要 :
This paper proposes a conceptual design framework for engineering design, where the design concepts consist of both structure and material that deliver the required functions. There has been no existing design model or framework t...
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This paper proposes a conceptual design framework for engineering design, where the design concepts consist of both structure and material that deliver the required functions. There has been no existing design model or framework that explicitly considers material at the conceptual design stage. The work is important because some functions may only be achievable by materials, and material phenomena may have to be exploited for some specific requirements. It may not be able to develop effective or feasible design concepts without taking material into account. To address this problem, this paper proposes a number of design strategies and methods, such as direct function-structure/material mapping; behaviour-assisted mapping; behavioural process-assisted mapping; procedure of applying these mapping methods; hierarchical conceptual design process representation; design knowledge libraries; etc. To illustrate the proposed conceptual design framework and design methods, a software prototype has been developed and presented, and a design case is also studied.
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Concentrated solar energy is an unlimited source of heat, and therefore widely applied in solar electricity generation or in the application of industrial heat. The intermittent nature of solar energy imposes the use of a heat sto...
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Concentrated solar energy is an unlimited source of heat, and therefore widely applied in solar electricity generation or in the application of industrial heat. The intermittent nature of solar energy imposes the use of a heat storage when a continuous operation is considered. Solar irradiance is only available during the daytime. Preliminary experiments were carried out in a 30 kW th pilot-scale solar tower located at QinHuangDao (China), a site with moderate annual solar irradiance of about 5 kWh/m~2day, while better locations exceed 10 kWh/m~2day. The present paper assesses the scale-up of the system to an industrial steam generation. The plant layout, process components and economics are evaluated. Solar steam becomes increasingly interesting when the Direct Normal Irradiance (DNI) at the selected location increases. Savings in comparison with a coal-fired boiler can vary between 10 and 50%.
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To improve the efficiency of unmanned aerial vehicle (UAV) swarm in cooperative search for moving targets, a search method based on extended differential evolution optimization (EDEO) algorithm is proposed. The mapping probability...
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To improve the efficiency of unmanned aerial vehicle (UAV) swarm in cooperative search for moving targets, a search method based on extended differential evolution optimization (EDEO) algorithm is proposed. The mapping probability map and certainty map to hormone map are utilized. Based on the rolling horizon optimization (RHO) and hormone map, a revenue function for UAV swarm cooperative search is given. Simulation results can indicate the proposed cooperative search method has the stronger universality and stability and the improved optimization algorithm has a faster converge ability.
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This paper proposes a mutant pigeon-inspired optimization algorithm with group learning strategy (MGLPIO), for multi-unmanned aerial vehicle(UAV) cooperative path planning. The group learning strategy is introduced in map and comp...
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This paper proposes a mutant pigeon-inspired optimization algorithm with group learning strategy (MGLPIO), for multi-unmanned aerial vehicle(UAV) cooperative path planning. The group learning strategy is introduced in map and compass operator to reduce computation complexity and enhance the global search ability. At the same time, the triple mutations strategy is employed in landmark operator to enhance swarm diversity. What's more, in order to synchronize multi-UAV, the time stamp segmentation technique is designed to prove waypoints, which can simplify the cost function by reducing the number of independent variables. Besides, we geometric the threat sources to quantify their dangerous level. The coordination costs can guarantee collision-free flight and real-time communication. Finally, the proposed method is applied to path planning in set scenarios. The simulation results indicate that our model is feasible and effective, and the MGLPIO algorithm can have a good balance between exploration and exploitation by comparing with other four algorithms.
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摘要 :
This paper proposes a mutant pigeon-inspired optimization algorithm with group learning strategy (MGLPIO), for multi-unmanned aerial vehicle (UAV) cooperative path planning. The group learning strategy is introduced in map and com...
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This paper proposes a mutant pigeon-inspired optimization algorithm with group learning strategy (MGLPIO), for multi-unmanned aerial vehicle (UAV) cooperative path planning. The group learning strategy is introduced in map and compass operator to reduce computation complexity and enhance the global search ability. At the same time, the triple mutations strategy is employed in landmark operator to enhance swarm diversity. What's more, in order to synchronize multi-UAV, the time stamp segmentation technique is designed to prove waypoints, which can simplify the cost function by reducing the number of independent variables. Besides, we geometric the threat sources to quantify their dangerous level. The coordination costs can guarantee collision-free flight and real-time communication. Finally, the proposed method is applied to path planning in set scenarios. The simulation results indicate that our model is feasible and effective, and the MGLPIO algorithm can have a good balance between exploration and exploitation by comparing with other four algorithms.
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In this paper, an Active Disturbance Rejection Control (ADRC) system is proposed to address the complex disturbance during the flight of Hypersonic Vehicle (HV). To deal with difficulties in the manual control parameter design tas...
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In this paper, an Active Disturbance Rejection Control (ADRC) system is proposed to address the complex disturbance during the flight of Hypersonic Vehicle (HV). To deal with difficulties in the manual control parameter design task, an Improved Comprehensive Learning Pigeon-Inspired Optimization (ICLPIO) algorithm is utilized by converting the parameter design problem to an optimization problem. The comprehensive learning strategy and the selective learning mechanism are introduced to improve the convergence rate and exploration performance in the parameters tuning for ADRC system of HV. To verify the advantages of the ICLPIO algorithm, the particle swarm optimization (PSO), the basic PIO, and the genetic algorithm (GA) are applied in the simulations as control groups. The results show that the presented method is superior to other optimization methods.
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In this paper, explicit model predictive controllers for velocity and altitude are designed for longitudinal control of carrier-borne aircraft, respectively. To obtain the optimal control parameters, the intelligent optimization a...
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In this paper, explicit model predictive controllers for velocity and altitude are designed for longitudinal control of carrier-borne aircraft, respectively. To obtain the optimal control parameters, the intelligent optimization algorithm is utilized to adjust the controller. An improved pigeon inspired optimization algorithm is proposed to obtain the optimal parameters. The superiority of the proposed method is verified by comparative simulation experiments.
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