Path Planning of Unmanned Autonomous Helicopter Based on Hybrid Satisficing Decision-Enhanced Swarm Intelligence Algorithm

With the increasing complexity of air combat environment, the optimal flight path is no longer the only requirement for the path planning system of unmanned autonomous helicopter (UAH). To enable the UAH path planning system to efficiently handle path planning problems in complex environments, a pat...

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Bibliographic Details
Published inIEEE transactions on cognitive and developmental systems Vol. 15; no. 3; p. 1
Main Authors Han, Zengliang, Chen, Mou, Shao, Shuyi, Zhou, Tongle, Wu, Qingxian
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.09.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Complexity
Costs
Flight
Heuristic algorithms
Hybrid enhanced
Missiles
Multiple objective analysis
Optimization
Path planning
Planning
Radar cross-sections
Radar detection
Satisfaction enhancement factor
Satisficing decision
Swarm intelligence
UAH
Unmanned helicopters
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Summary:With the increasing complexity of air combat environment, the optimal flight path is no longer the only requirement for the path planning system of unmanned autonomous helicopter (UAH). To enable the UAH path planning system to efficiently handle path planning problems in complex environments, a path planning method is proposed based on satisficing decision-enhanced hybrid swarm intelligence in this paper. Firstly, the UAH path planning is modelled as the multi-objective optimization problem. Besides the traditional flight cost of path planning, the performance of UAH and the safety constraints are both considered in this paper to establish the fitness function of path planning. Then, a hybrid satisficing decision-enhanced swarm intelligence (HSD-SI) path planning algorithm is proposed based on satisficing decision method. Through the collaboration and feedback between the hybrid algorithms, the satisfaction enhancement factor is dynamically adjusted so that the HSD-SI algorithm has multiple optimisation properties. Thus, the UAH path planning system based on the HSD-SI algorithm can intelligently plan satisfactory flight paths according to the requirements of the mission. Simulation results verify the feasibility and effectiveness of the HSD-SI algorithm in dealing with the UAH path planning problems.
ISSN:2379-8920
2379-8939
DOI:10.1109/TCDS.2022.3212062