Quantum Wind Driven Optimization for Unmanned Combat Air Vehicle Path Planning

Zhou, Yongquan; Bao, Zongfan; Wang, Rui; Qiao, Shilei; Zhou, Yuxiang

doi:10.3390/app5041457

Cited by 17 publications

(10 citation statements)

References 19 publications

(29 reference statements)

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“…To increase the level of autonomy and reduce the dependencies on manual operators, various planning and control strategies have been developed regarding the problem of target tracking, target acquisition, disaster rescue and so on [2][3][4]. As one of the most complicated and important problems, the target tracking is regarded as a guidance law problem in this paper, assuming the target motion to be observed in the monitoring range.…”

Section: Introductionmentioning

confidence: 99%

Target Tracking Based on a Nonsingular Fast Terminal Sliding Mode Guidance Law by Fixed-Wing UAV

Cai

Zhao

et al. 2017

Applied Sciences

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This paper proposes a modified nonsingular fast terminal sliding mode (NFTSM) guidance law to solve the problem of ground moving target tracking for fixed-wing unmanned aerial vehicle (UAV) in a planar environment. Firstly, the loitering algorithm is analysed, which can steer the UAV to follow and circle around a ground moving target with the desired distance by heading angle control. Secondly, the effects of different parameters on the convergence time of sliding manifold is presented which is helpful for the designing of sliding manifold. Singularity can be avoided by using a modified saturation function which is obtained through a small range around the null point. Moreover, the NFTSM sliding manifold is used in the loitering algorithm. By using the Lyapunov theory, the finite-time convergence of the proposed method has been proved in the the reaching phase and the sliding phase. In order to verify the approach's feasibility and benefits, numerical simulations are performed by using a moving target with three different motion states in comparison with the conventional sliding model control method. Simulation results indicate that, under the proposed NFTSM guidance law, the UAV can reach the desired distance in a short time.

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Section: Introductionmentioning

confidence: 99%

Target Tracking Based on a Nonsingular Fast Terminal Sliding Mode Guidance Law by Fixed-Wing UAV

Cai

Zhao

et al. 2017

Applied Sciences

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“…Improved ACO [14,15], A* and Theta* [16] algorithms are used for route planning in three-dimensional environments. To improve the investigation efficiency of unmanned bombs, scholars have proposed the Quantum Wind Driven [17] algorithm. Scholars have proposed a variety of optimization and improvement methods for the route planning problem under different conditions and have solved these problems relatively well.…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicle Route Planning in the Presence of a Threat Environment Based on a Virtual Globe Platform

Zhang

Liu

et al. 2016

IJGI

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Route planning is a key technology for an unmanned aerial vehicle (UAV) to fly reliably and safely in the presence of a threat environment. Existing route planning methods are mainly based on the simulation scene, whereas approaches based on the virtual globe platform have rarely been reported. In this paper, a new planning space for the virtual globe and the planner is proposed and a common threat model is constructed for threats including a no-fly zone, hazardous weather, radar coverage area, missile killing zone and dynamic threats. Additionally, an improved ant colony optimization (ACO) algorithm is developed to enhance route planning efficiency and terrain masking ability. Our route planning methods are optimized on the virtual globe platform for practicability. A route planning system and six types of planners were developed and implemented on the virtual globe platform. Finally, our evaluation results demonstrate that our optimum planner has better performance in terms of fuel consumption, terrain masking, and risk avoidance. Experiments also demonstrate that the method and system described in this paper can be used to perform global route planning and mission operations.

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“…(2) where v 0 is UAV cruise velocity. Respectively, v max and ω max are UAV velocity and turn rate maximal variation ranges.…”

Section: Uav Dynamic Modelmentioning

confidence: 99%

“…u = (u v , u ω ) T is velocity and turn rate control command constrained by fixed-wing UAV dynamic model [26] in Equation (2).…”

Section: Uav Dynamic Modelmentioning

confidence: 99%

“…Due to the limited capacity of single UAV, in the future information and network centric environment, multiple UAVs have been widely employed in military and civil applications [1][2][3][4][5] due to the feasibility and scalability in complex tasks in recent years, such as target tracking, wildlife monitoring, disaster rescue and so on. Serving as communication relays for remote monitoring and situation awareness [6], multiple UAVs dynamically constructing a reliable peer-to-peer communication links chain has been studied in recent years [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Connectivity Maintenance Based on Multiple Relay UAVs Selection Scheme in Cooperative Surveillance

Zhu

Zhou

Zhang³

2016

Applied Sciences

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For the purpose of remote command and situation awareness, multiple unmanned aerial vehicles (UAVs) cooperative surveillance with a ground station via multihop communications is presented in this paper. Considering limited communication capacities, a reliable UAV-to-UAV communication relay chain is dynamically established for connectivity maintenance and real-time surveillance information transmission. Firstly, a multiple UAVs cooperative surveillance framework is constructed with history detection information and surveillance payoff estimation. Secondly, four attributes are proposed to characterize differences among UAV alternatives in communication network containing a ground station, and a novel multiple relay UAVs selection scheme based on fuzzy optimum selection is developed to achieve tradeoff between surveillance mission and connectivity maintenance. Furthermore, satisfied with collision avoidance, limited communication and UAV kinematic constraints, the optimal UAV motion plan is obtained by decentralized receding horizon control, which is solved by particle swarm optimization with elite mechanism. Simulations demonstrate the effectiveness of the proposed methods in multi UAVs cooperative surveillance.

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Quantum Wind Driven Optimization for Unmanned Combat Air Vehicle Path Planning

Cited by 17 publications

References 19 publications

Target Tracking Based on a Nonsingular Fast Terminal Sliding Mode Guidance Law by Fixed-Wing UAV

Target Tracking Based on a Nonsingular Fast Terminal Sliding Mode Guidance Law by Fixed-Wing UAV

Unmanned Aerial Vehicle Route Planning in the Presence of a Threat Environment Based on a Virtual Globe Platform

Connectivity Maintenance Based on Multiple Relay UAVs Selection Scheme in Cooperative Surveillance

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