Aug 2026· World Journal of Engineering Research· 0 citations
Abstract
To address the difficulty of simultaneously satisfying heading continuity, minimum turning-radius constraints, and safe obstacle avoidance in trajectory planning for fixed-wing aircraft operating in static no-fly zone (NFZ) environments, a horizontal trajectory planning model is formulated by incorporating position, heading, curvature constraints, and safety margins around NFZs. A planning method combining weighted kinematic A* with Dubins terminal connection is then proposed. The method jointly represents planar position and heading angle as the search state and expands nodes using constant-curvature motion primitives that satisfy the prescribed curvature constraints. A weighted Dubins distance is employed to guide the search toward the target, while a Dubins curve is used within the target neighborhood to connect the current state to the desired terminal state. Simulation results demonstrate that, in scenarios involving multiple circular NFZs, the proposed method can generate continuous collision-free trajectories that satisfy the prescribed initial and terminal headings, safety-clearance requirements, and minimum turning-radius constraints. The resulting trajectory length increases only moderately relative to the straight-line distance, while the explored nodes are primarily concentrated near feasible passages. These results validate the effectiveness of the proposed method for trajectory planning of fixed-wing aircraft in static NFZ environments.
A hybrid real-time CPP framework that integrates an offline coverage strategy with an online optimisation and control scheme and achieves improved tracking consistency and smoother trajectories, while maintaining real-time feasibility is presented.
Mohammad Khaneghaei, Benyamin Ebrahimi, D. Asadi et al.· Aerospace· 0 citations
This paper presents a guide path-free multimodal trajectory planning framework for autonomous surface vehicles operating in dynamic environments that alleviates the local-minimum and deadlock problems of single-mode MPC while maintaining computational efficiency.
Simulation results for a three-UAV swarm in a cluttered environment demonstrate that the proposed distributed NMPC-based trajectory planning method can generate dynamically feasible and collision-free trajectories, while enabling the swarm to reach the assigned target positions and preserve the desired formation within...
Ying-Ting Cui, Tong-Xin Zeng, Bin Li· Drones· 0 citations
This study presents a supervisory multi-objective geometric path-planning framework for fixed-wing UAV navigation in complex three-dimensional terrain. The path is represented by three-dimensional waypoints, which constitute the optimization variables. For each candidate path generated by the BTT-enhanced Butterfly O...
Hakimeh Mazaheri, Salman Goli, Ali Nourollah· Scientific Reports· 0 citations
This study proposes an efficient trajectory planning method for fixed-wing unmanned aerial vehicles (UAVs) based on an improved A*-guided initialization strategy for complex obstacle environments. An improved three-dimensional A* method is developed to generate smooth and collision-free global paths with enhanced searc...
Zhen-Bin Zhang, Yongliang Chen, Ya-Lei Bai et al.· Applied Sciences· 0 citations
This paper addresses the optimisation of the obstacle avoidance trajectory for unmanned aerial vehicles (UAVs) flying in a V-shaped formation. A control framework based on potential functions is utilised to maintain the formation and track the virtual leader. The obstacle avoidance mechanism is activated by defining...
Hadi Ghashochi-Bargh, Mohammad Baqer Sheikhi· Aeronautical Journal· 0 citations
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