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Control Structure Design With Constraints for a Slung Load Quadrotor System

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Date

2024

Journal Title

Journal ISSN

Volume Title

Publisher

Sage Publications Ltd

Open Access Color

GOLD

Green Open Access

No

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Publicly Funded

No
Impulse
Average
Influence
Average
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Average

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Abstract

We propose a control structure for a quadrotor carrying a slung load with swing-angle constraints. This quadrotor is supposed to pass through the waypoints at specified speeds. First, a cascaded PID autopilot is designed, which adaptively gives attention to position and speed requirements as a function of their errors. Its parameters are found from an optimization problem solved using the PSO algorithm. Second, this controller's performance is improved by adding the Complementary Controller employing an ANN. 5. Training data for the ANN is created by solving optimal control problems. The ANN is activated when the swing angle constraint is about to be violated. It is trained using optimal control values corresponding to the cases where the swing angle falls in a particular band about the upper swing angle constraint. Simulations are performed in a MATLAB environment. Finally, some of the simulation results are validated on a physical system.

Description

Keywords

Slung Load Quadrotor System, Particle Swarm Optimization, Artificial Neural Networks, Autonomous Package Delivery, Control engineering systems. Automatic machinery (General), TJ212-225, T1-995, Technology (General)

Fields of Science

0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Ergezer, H.; Leblebicioğlu, H. (2023). "Control structure design with constraints for a slung load quadrotor system", Measurement and Control (United Kingdom).

WoS Q

Q3

Scopus Q

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OpenCitations Citation Count
2

Source

Measurement and Control

Volume

57

Issue

1

Start Page

16

End Page

29
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Citations

Scopus : 3

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Mendeley Readers : 10

SCOPUS™ Citations

3

checked on Feb 23, 2026

Web of Science™ Citations

2

checked on Feb 23, 2026

Page Views

9

checked on Feb 23, 2026

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0.4977062

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