An Optimal Path Planning Method for UCAV in Terminal of Target Strike

Xin, Hongbo; Chen, Qingyang; Wang, Yujie; Jia, Gaowei; Hou, Zhanqiang

doi:10.1109/ccdc.2019.8832732

Cited by 3 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be adjusted as needed to achieve coordinated arrival with spatial-temporal constraints, which is consistent with the ideas in Refs. 26,28 Different mission types may have distinct requirements for the direction of V f when reaching the circle. Co-ISR will require the leading angle σ to be 90°, as shown in Case 1 in Figure 2.…”

Section: Path Planning Methods For Cooperative Arrivalmentioning

confidence: 99%

See 1 more Smart Citation

Segmented guidance method for multi-UAVs cooperative attack with spatio-temporal constraints

Wang,

Tang,

Xin

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part G:

Self Cite

View full text Add to dashboard Cite

This paper presents a segmented guidance method for multi-UAVs (unmanned aerial vehicles) cooperative attack with spatio-temporal constraints, and successfully implemented in the flight tests. First, the uniform distribution of UAVs around the target is completed through cooperative path planning and tracking in the mid-course phase. The path planning method for cooperative arrival is proposed based on Dubins curve, and the guidance strategy for circular formation flight enables the UAVs to accurately track the reference points which are evenly distributed on the circle. Second, the terminal guidance law in 3D space with impact time cooperation is proposed during the cooperative attack stage, which would further eliminate the accumulated deviation. Finally, simulations and field flight tests for coordinated attack are carried out, which show the effectiveness of the proposed method.

show abstract

Section: Path Planning Methods For Cooperative Arrivalmentioning

confidence: 99%

“…It can be adjusted as needed to achieve coordinated arrival with spatial-temporal constraints, which is consistent with the ideas in Refs. 26,28…”

Section: Segmented Guidance Methodsmentioning

confidence: 99%

Segmented guidance method for multi-UAVs cooperative attack with spatio-temporal constraints

Wang,

Tang,

Xin

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part G:

Self Cite

View full text Add to dashboard Cite

show abstract

“…Many computational methods have been proposed for addressing path-planning of UCAV [1][2][3]. Unfortunately, those computational methods often suffer from numerical instability and premature convergence due to their inefficient search capabilities and high complexity.…”

Section: Methodsmentioning

confidence: 99%

“…In the previous study, many models have been taken to simulate the intelligent behavior that the aircraft might find a suitable path automatically [1,2]. Under that model, a series of methods to produce an optimal path have been proposed [3]. The angle, velocity, and height and many other factors should be involved in those methods.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Swarm Intelligence Algorithms for UCAV Path-Planning Problems

Zhu

Wang

et al. 2021

Mathematics

View full text Add to dashboard Cite

Path-planning for uninhabited combat air vehicles (UCAV) is a typically complicated global optimization problem. It seeks a superior flight path in a complex battlefield environment, taking into various constraints. Many swarm intelligence (SI) algorithms have recently gained remarkable attention due to their capability to address complex optimization problems. However, different SI algorithms present various performances for UCAV path-planning since each algorithm has its own strengths and weaknesses. Therefore, this study provides an overview of different SI algorithms for UCAV path-planning research. In the experiment, twelve algorithms that published in major journals and conference proceedings are surveyed and then applied to UCAV path-planning. Moreover, to demonstrate the performance of different algorithms in further, we design different scales of problem cases for those comparative algorithms. The experimental results show that UCAV can find the safe path to avoid the threats efficiently based on most SI algorithms. In particular, the Spider Monkey Optimization is more effective and robust than other algorithms in handling the UCAV path-planning problem. The analysis from different perspectives contributes to highlight trends and open issues in the field of UCAVs.

show abstract

A Path Planning And Guidance Method For Multi-UAVs Coordinated Strike With Time-Space Constraints

Xin

Chen

Wang

et al. 2020

2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

View full text Add to dashboard Cite

An Optimal Path Planning Method for UCAV in Terminal of Target Strike

Cited by 3 publications

References 10 publications

Segmented guidance method for multi-UAVs cooperative attack with spatio-temporal constraints

Segmented guidance method for multi-UAVs cooperative attack with spatio-temporal constraints

A Comparative Study of Swarm Intelligence Algorithms for UCAV Path-Planning Problems

A Path Planning And Guidance Method For Multi-UAVs Coordinated Strike With Time-Space Constraints

Contact Info

Product

Resources

About