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

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

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