A Mission Planning Method for Long-Endurance Unmanned Aerial Vehicles: Integrating Heterogeneous Ground Control Resource Allocation DOI Creative Commons
Kai Li, Cheng Zhu,

Xiaogang Pan

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(8), P. 385 - 385

Published: Aug. 8, 2024

Long-endurance unmanned aerial vehicles (LE-UAVs) are extensively used due to their vast coverage and significant payload capacities. However, limited autonomous intelligence necessitates the intervention of ground control resources (GCRs), which include one or more operators, during mission execution. The performance these missions is notably affected by varying effectiveness different GCRs fatigue levels. Current research on multi-UAV planning inadequately addresses critical factors. To tackle this practical issue, we present an integrated optimization problem for multi-LE-UAV combined with heterogeneous GCR allocation. This extends traditional cooperative incorporating allocation decisions. coupling decisions increases dimensionality decision space, rendering complex. By analyzing problem’s characteristics, develop a mixed-integer linear programming model. effectively solve problem, propose bilevel algorithm based hybrid genetic framework. Numerical experiments demonstrate that our proposed solves outperforming advanced toolkit CPLEX. Remarkably, larger-scale instances, achieves superior solutions within 10 s compared CPLEX’s 2 h runtime.

Language: Английский

Multi-UAV Cooperative Task Allocation Based on Fish Swarm Auction Hybrid Algorithm DOI

Zhao Lan Mo,

Tingting Zhang,

Xuan Zhou

et al.

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 583 - 596

Published: Jan. 1, 2025

Language: Английский

Citations

0
Distributed Adaptive Disturbance Observer-based Multi-Channel Event-Triggered Finite-Time Coordinated Control for Multi-UAVs with Actuator Failures DOI
Lihao Wang, Aijun Li,

Chao Xiao

et al.

Aerospace Science and Technology, Journal Year: 2024, Volume and Issue: 151, P. 109319 - 109319

Published: June 15, 2024

Language: Английский

Citations

2
Quantum Computing Based Collaborative Optimum Mission Allocation Approach for Heterogeneous Multi Unmanned Vehicles DOI Creative Commons
Níyazí Furkan Bar, Hasan Yetış,

Nígar Özbey

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 169069 - 169078

Published: Jan. 1, 2024

Language: Английский

Citations

1
A Mission Planning Method for Long-Endurance Unmanned Aerial Vehicles: Integrating Heterogeneous Ground Control Resource Allocation DOI Creative Commons
Kai Li, Cheng Zhu,

Xiaogang Pan

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(8), P. 385 - 385

Published: Aug. 8, 2024

Long-endurance unmanned aerial vehicles (LE-UAVs) are extensively used due to their vast coverage and significant payload capacities. However, limited autonomous intelligence necessitates the intervention of ground control resources (GCRs), which include one or more operators, during mission execution. The performance these missions is notably affected by varying effectiveness different GCRs fatigue levels. Current research on multi-UAV planning inadequately addresses critical factors. To tackle this practical issue, we present an integrated optimization problem for multi-LE-UAV combined with heterogeneous GCR allocation. This extends traditional cooperative incorporating allocation decisions. coupling decisions increases dimensionality decision space, rendering complex. By analyzing problem’s characteristics, develop a mixed-integer linear programming model. effectively solve problem, propose bilevel algorithm based hybrid genetic framework. Numerical experiments demonstrate that our proposed solves outperforming advanced toolkit CPLEX. Remarkably, larger-scale instances, achieves superior solutions within 10 s compared CPLEX’s 2 h runtime.

Language: Английский

Citations

0