Article
Version 1
Preserved in Portico This version is not peer-reviewed
Optimization Imposition upon Drone Gimbal Control Electronics
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Version 1
: Received: 12 May 2023 / Approved: 16 May 2023 / Online: 16 May 2023 (02:38:50 CEST)
A peer-reviewed article of this Preprint also exists.
Zheng, E., & Sands, T. (2023). Optimization Imposition upon Drone Gimbal Control Electronics. Journal of AppliedMath, 1(2), 69. Zheng, E., & Sands, T. (2023). Optimization Imposition upon Drone Gimbal Control Electronics. Journal of AppliedMath, 1(2), 69.
Abstract
The goal of the manuscript is to design a relatively best control structure for the noise suppression of a drone’s camera gimbal action. The gimbal’s movement can be simplified as a rest-to-rest reorientation system that can achieve the boundary result of a dynamic system. Six different control architectures are proposed and evaluated based on their ability to control the trajectory of the dynamic-system position and speed, their running time, and quadratic cost. The robustness of the control architecture to uncertainties in inertia and sensor noise is also analyzed. Monte Carlo figures are used to assess the performance of the six control systems. The conditions for applying different architectures are identified through this analysis. The analysis and experimental tests reveal the most suitable control of the drone’s camera gimbal rotation.
Keywords
P+V controller; Double integrator patching filter; control law inversion patching filter; RTOC control; open loop control; feedback control; Monte Carlo model
Subject
Engineering, Electrical and Electronic Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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