A Novel Multi Stage Cooperative Path Re-planning Method for Multi UAV

2016 ◽  
pp. 482-495 ◽  
Author(s):  
Xiao-hong Su ◽  
Ming Zhao ◽  
Ling-ling Zhao ◽  
Yan-hang Zhang
Keyword(s):  
Planning Method ◽  
Multi Stage ◽  
Multi Uav

scholarly journals Multi-stage power source and grid coordination planning method considering grid uniformity

2020 ◽  
Vol 3 (4) ◽  
pp. 303-312
Author(s):  
Zhiqi Li ◽  
Xueshan Han ◽  
Ming Yang ◽  
Yiran Ma
Keyword(s):  
Power Source ◽  
Planning Method ◽  
Multi Stage

Multi-stage Planning Method for Distribution Network Considering Building Integrated Energy Station

2021 ◽  
Author(s):  
Yunman Li ◽  
Hongjun Gao ◽  
Shuaijia He ◽  
Haibo Li ◽  
Hongcai Zhang ◽  
...  
Keyword(s):  
Distribution Network ◽  
Planning Method ◽  
Multi Stage

scholarly journals A Dynamic Multi-Stage Planning Method for Integrated Energy Systems considering Development Stages

2021 ◽  
Vol 9 ◽  
Author(s):  
Donglou Fan ◽  
Xun Dou ◽  
Yang Xu ◽  
Chen Wu ◽  
Guiyuan Xue ◽  
...  
Keyword(s):  
Penetration Rate ◽  
System Development ◽  
Clean Energy ◽  
Energy System ◽  
Planning Method ◽  
Development Theory ◽  
Development Stages ◽  
Integrated Energy Systems ◽  
Multi Stage ◽  
Integrated Energy System

Integrated energy system (IES) planning is a long-term and rolling decision-making process. According to System Development Theory, the development-needs at different stages are different. Therefore, an IES dynamic multi-stage planning method considering different development stages is proposed. The first step of the method is putting forward a model based on the degree of system coupling, the reserve ratio, and the penetration rate of clean energy to divide dynamic development stages. Secondly, establishing a dynamic multi-stage planning model of the IES by combining the needs of different development stages through dynamic goals and constraints. Finally, the results given by the optimal configuration of critical IES equipment will be analysed in different scenarios. Following these steps, the result shows that the dynamic multi-stage planning method proposed is able to reduce the total planning cost of the system by 14% and reducing the clean energy penetration rate by 3%. Therefore, the proposed dynamic multi-stage planning scheme is effective and economical.

A fuzzy multi-stage path-planning method for a robot in a dynamic environment with unknown moving obstacles

Robotica ◽  
2014 ◽  
Vol 33 (9) ◽  
pp. 1869-1885 ◽  
Author(s):  
Pooya Mobadersany ◽  
Sohrab Khanmohammadi ◽  
Sehraneh Ghaemi
Keyword(s):  
Path Planning ◽  
Blood Vessels ◽  
Dynamic Environment ◽  
Planning Method ◽  
Planning Problem ◽  
Complex Environments ◽  
Time Intervals ◽  
Moving Obstacles ◽  
Multi Stage ◽  
Static Form

SUMMARYPath planning is one of the most important fields in robotics. Only a limited number of articles have proposed a practical way to solve the path-planning problem with moving obstacles. In this paper, a fuzzy path-planning method with two strategies is proposed to navigate a robot among unknown moving obstacles in complex environments. The static form of the environment is assumed to be known, but there is no prior knowledge about the dynamic obstacles. In this situation, an online and real-time approach is essential for avoiding collision. Also, the approach should be efficient in natural complex environments such as blood vessels. To examine the efficiency of the proposed algorithm, a drug delivery nanorobot moving in a complex environment (blood vessels) is supposed. The Monte Carlo simulation with random numbers is used to demonstrate the efficiency of the proposed approach, where the dynamic obstacles are assumed to appear in exponentially distributed random time intervals.

Multi-UAV Mission Planning Method

2020 ◽  
Author(s):  
Tianyu Huang ◽  
Yue Wang ◽  
Xiaowen Cao ◽  
Dongfang Xu
Keyword(s):  
Planning Method ◽  
Mission Planning ◽  
Multi Uav

scholarly journals Multi-UAV Collaborative Path Planning Method Based on Attention Mechanism

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Tingzhong Wang ◽  
Binbin Zhang ◽  
Mengyan Zhang ◽  
Sen Zhang
Keyword(s):  
Neural Network ◽  
Reinforcement Learning ◽  
Path Planning ◽  
Support System ◽  
Empirical Model ◽  
Path Length ◽  
Planning Method ◽  
Simulation Data ◽  
Time Requirements ◽  
Multi Uav

Aiming at the problem that traditional heuristic algorithm is difficult to extract the empirical model in time from large sample terrain data, a multi-UAV collaborative path planning method based on attention reinforcement learning is proposed. The method draws on a combined consideration of influencing factors, such as survival probability, path length, and load balancing and endurance constraints, and works as a support system for multimachine collaborative optimizing. The attention neural network is used to generate the cooperative reconnaissance strategy of the UAV, and a large amount of simulation data is tested to optimize the attention network using the REINFORCE algorithm. Experimental results show that the proposed method is effective in solving the multi-UAV path planning issue with high real-time requirements, and the solving time is less than the traditional algorithms.

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