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Meta-Heuristic Optimization of Sliding Mode Control—Application to Quadrotor-Based Inspection of Solar Panels

Rezoug, Amar; Bouderbala, Fatma-Zohra; Baizid, Khelifa; Iqbal, Jamshed

Authors

Amar Rezoug

Fatma-Zohra Bouderbala

Khelifa Baizid



Contributors

Adel Mellit
Editor

Hocine Belmili
Editor

Bacha Seddik
Editor

Abstract

In this paper, inspection of solar energy system is addressed using a quadrotor unmanned aerial vehicle (UAV) system. The accurate positioning of the system on the solar panel requires a robust controller to precisely address the fault while ensuring stability. For this purpose, an optimized nonsingular terminal sliding mode controller (ONTSMC) is proposed. The control law is designed based on the derived quadrotor model. Particle swarm optimization (PSO) method is used to optimize the controller parameters. Also, the closed-loop stability of the controller is ensured using Lyapunov candidate function. The proposed optimized controller is simulated in MATLAB/Simulink to characterize the control performance. Results demonstrate the effectiveness of the proposed control approach.

Citation

Rezoug, A., Bouderbala, F.-Z., Baizid, K., & Iqbal, J. (2022, December). Meta-Heuristic Optimization of Sliding Mode Control—Application to Quadrotor-Based Inspection of Solar Panels. Presented at 1st International Conference on Advanced Renewable Energy Systems (ICARES 2022), Tipaza, Algeria

Presentation Conference Type Conference Paper (Published)
Conference Name 1st International Conference on Advanced Renewable Energy Systems (ICARES 2022)
Start Date Dec 18, 2022
End Date Dec 20, 2022
Acceptance Date Jun 16, 2024
Online Publication Date Jun 16, 2024
Publication Date 2024
Deposit Date Jun 17, 2024
Publicly Available Date Jun 17, 2025
Publisher Springer (part of Springer Nature)
Pages 187-195
Series Title Springer Proceedings in Energy
Book Title Proceedings of the 1st International Conference on Advanced Renewable Energy Systems (ICARES 2022)
ISBN 9789819927760; 9789819927791
DOI https://doi.org/10.1007/978-981-99-2777-7_21
Public URL https://hull-repository.worktribe.com/output/4711284