A computationally efficient adaptive robust control scheme for a quad-rotor transporting cable-suspended payloads

Author:

Ullah Nasim1ORCID,Sami Irfan2,Shaoping Wang3,Mukhtar Hamid4,Wang Xingjian3,Shahariar Chowdhury Md56,Techato Kuaanan156

Affiliation:

1. Department of Electrical Engineering, College of Engineering, Taif UniversityKSA, Taif, Saudi Arabia

2. School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea

3. School of Automation and Electrical Engineering, Beihang University, China

4. Department of Computer Science, TAIF UniversityKSA, Saudi Arabia

5. Environmental Assessment and Technology for Hazardous Waste Management Research Centre, Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Thailand

6. Faculty of Environmental Management, Prince of Songkla, University, Hat Yai, Thailand

Abstract

This article proposes a computationally efficient adaptive robust control scheme for a quad-rotor with cable-suspended payloads. Motion of payload introduces unknown disturbances that affect the performance of the quad-rotor controlled with conventional schemes, thus novel adaptive robust controllers with both integer- and fractional-order dynamics are proposed for the trajectory tracking of quad-rotor with cable-suspended payload. The disturbances acting on quad-rotor due to the payload motion are estimated by utilizing adaptive laws derived from integer- and fractional-order Lyapunov functions. The stability of the proposed control systems is guaranteed using integer- and fractional-order Lyapunov theorems. Overall, three variants of the control schemes, namely adaptive fractional-order sliding mode (AFSMC), adaptive sliding mode (ASMC), and classical Sliding mode controllers (SMC)s) are tested using processor in the loop experiments, and based on the two performance indicators, namely robustness and computational resource utilization, the best control scheme is evaluated. From the results presented, it is verified that ASMC scheme exhibits comparable robustness as of SMC and AFSMC, while it utilizes less sources as compared to AFSMC.

Funder

Taif University Researchers Supporting Project (TURSP) & Prince of Songkla University

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

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