Synthesis of optimal structure of UAV stabilization system by full-scale experiment data

Krivonosenko, O. P.; Savchenko, Oleg

doi:10.1109/apuavd.2015.7346575

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…In recent years, scientists and researchers have developed multiple control strategies to enhance and improve the stability and movement of unmanned aerial systems [6], [7]. Most of these methods involve the use of conventional PID controllers [8]- [11] which are easy to implement.…”

Section: Introductionmentioning

confidence: 99%

Flight parameters improvement for an unmanned aerial vehicle using a lookup table based fuzzy PID controller

Benbouali

Chabni

Taleb

et al. 2021

IJEECS

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In this paper, a control scheme based on lookup table fuzzy proportionalintegral-derivate (PID) controller for the quadrotor unmanned aerial vehicle (UAV) movement control is proposed. This type of control provides enhanced quadrotor movement control beyond what can be achieved with conventional controllers and has a less computational burden on the processor. The proposed control scheme uses three lookup table based fuzzy logic controllers to control the different movement ranges of a quadrotor (i.e. roll, pitch, and yaw) to achieve stability. The mathematical model of a quadrotor, used to design the proposed controller, is derived based on the Lagrange approach. The processor in the loop (PIL) technique was used to test and validate the proposed control scheme. MATLAB/Simulink environment was used as a platform for the quadrotor model, whereas a low cost and high-performance STM32F407 microcontroller was used to implement the controllers. Data transfer between the hardware and software is via serial communication converter. The control system designed based on simulation is tested and validated using “processor in the loop” techniques.

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