Unpredictable trajectories on quadcopters by infusing hyperchaotic generated velocities on its 3 axes of movement

This article aims to adapt the chaotic trajectory generation algorithm, as originally presented by Cetina-Denis et al. in 2022 for quadcopters. This adaptation opens possibilities for various applications, including search and rescue operations and the handling of hazardous objects, within a three-dimensional exploration space. To accomplish this, hyperchaotic behavior is introduced into the linear displacement velocities along the three axes of motion by using the four-dimensional hyperchaotic Méndez–Arellano–Cruz–Martínez system. The article also delves into the potential applications of these aerial robots in patrolling designated spaces. It presents and analyzes both numerical and experimental findings, along with quantitative tests to assess the level of hyperchaos inherent in the generated trajectories. Furthermore, the article examines the scenario where two quadcopters simultaneously patrol the same workspace, exploring both numerical simulations and experimental outcomes.