Cooperative optimization of task allocation and trajectory planning for multimission in heterogeneous UAV cluster

Xili Dong; Chenguang Shi; Wen Wen; Jianjiang Zhou

doi:10.1117/12.3023151

28 March 2024 Cooperative optimization of task allocation and trajectory planning for multimission in heterogeneous UAV cluster

Xili Dong, Chenguang Shi, Wen Wen, Jianjiang Zhou

Author Affiliations +

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 130912V (2024) https://doi.org/10.1117/12.3023151
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

This article proposes a cooperative optimization algorithm of task allocation and trajectory planning for multi-mission in heterogeneous unmanned aerial vehicle (UAV) cluster. The basis of the proffered algorithm is to establish constraint and threat models to simultaneously minimize range, maximize value gain and survival probability under the constraints of task payload, range and task requirement. With this, derive the objective function for heterogeneous UAV cluster within multi-mission, and adopt it as a metric for assessing the performance of the cooperative optimization in task allocation and trajectory planning. It is revealed that the formulated cooperative optimization problem is a multi-objective, nonlinear and non-convex optimization model due to its multiple decision variables and constraints. By introducing the roulette wheel selection (RWS) principle and the elite strategy (ES), an ant colony optimization (ACO) with ES the capability to solve the complex optimization model. The simulation results indicate that the proposed algorithm is superior and more efficient compared to other approaches.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Xili Dong, Chenguang Shi, Wen Wen, and Jianjiang Zhou "Cooperative optimization of task allocation and trajectory planning for multimission in heterogeneous UAV cluster", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 130912V (28 March 2024); https://doi.org/10.1117/12.3023151

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KEYWORDS

Unmanned aerial vehicles

Mathematical optimization

Computer simulations

Detection and tracking algorithms

Modeling

Nonlinear optimization

Algorithm development

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