Experimental validation of an integral sliding mode-based LQG for the pitch control of a UAV-mimicking platform

Khan, Said Ghani; Bendoukha, Samir; Naeem, Wasif; Iqbal, Jamshed

Abstract

In this paper, an enhanced Integral Sliding Mode-based Linear Quadratic Gaussian (ISM-LQG) controller has been proposed and verified in real-time on a Twin Rotor multi-input-multi-output MIMO System (TRMS). A TRMS serves as a suitable laboratorybased platform to evaluate the performance of control algorithms for complex Unmanned Aerial Vehicle (UAV) systems such as rotocraft. In the proposed scheme, an ISM enhancement to an LQG has been introduced, which attempts to overcome modelling inaccuracies and uncertainties. The novelty of the proposed control law lies in hybridizing a robust control approach with an optimal control law to achieve improved performance. Experimental results on the TRMS demonstrate that the ISM-LQG strategy significantly improves the tracking performance of the TRMS pitch and hence confirm the applicability and efficiency of the proposed scheme.

Citation

Khan, S. G., Bendoukha, S., Naeem, W., & Iqbal, J. (2019). Experimental validation of an integral sliding mode-based LQG for the pitch control of a UAV-mimicking platform. Advances in Electrical and Electronic Engineering, 17(3), 275-284. https://doi.org/10.15598/aeee.v17i3.3031

• Journal Article Type: Article
• Acceptance Date: Dec 3, 2018
• Publication Date: Jan 1, 2019
• Deposit Date: Sep 14, 2021
• Publicly Available Date: Oct 15, 2021
• Journal: Advances in Electrical and Electronic Engineering
• Print ISSN: 1336-1376
• Electronic ISSN: 1804-3119
• Peer Reviewed: Peer Reviewed
• Volume: 17
• Issue: 3
• Pages: 275-284
• DOI: https://doi.org/10.15598/aeee.v17i3.3031
• Keywords: Experimental set-up; Integral Sliding Mode control; Linear Quadrature Gaussian; optimal dynamic control; Twin rotor MIMO system
• Public URL: https://hull-repository.worktribe.com/output/3796915