Robust Approach for Global Stabilization of a Class of Underactuated Mechanical Systems in Presence of Uncertainties

Author:

Shah Ibrahim1,Abbasi Waseem2ORCID,Alhussein Musaed3,Khan Imran4,Ur Rehman Fazal1,Anwar Muhammad Shahid5ORCID,Aurangzeb Khursheed3ORCID

Affiliation:

1. Electrical Engineering Department, Capital University of Science and Technology, Islamabad 44000, Pakistan

2. Computer Science and IT Department, Superior University, Lahore 54000, Pakistan

3. Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11543, Saudi Arabia

4. Electrical Engineering Department, Sargodha University, Sargodha 40100, Pakistan

5. Department of AI Software, Gachon University, Seongnam-si 13120, Republic of Korea

Abstract

Underactuated mechanical systems offer complex dynamic behavior and poses control challenges, especially in the presence of uncertainties in the system. To cope with such systems, control mechanisms are required, which needs to be robust. In this research, an algorithm based on sliding mode control (SMC) is presented. The algorithm design offer a methodical way to handle underactuation, while the robustness properties of SMC suppresses the effect of norm bounded uncertainties and external disturbances. To proceed with the design, an underactuated system is converted into cascaded subsystems, a linear one and reduced-order nonlinear subsystem. The proposed SMC design is backed by rigorous mathematical presentation and based on Lyapunov theory, so that the global stabilization of overall system is ensured. Numerical simulations are performed, on the laboratory test bench underactuated systems (Inertial Wheel, Furuta Pendulum, TORA, and an Overhead Crane), to validate the efficacy of the proposed design. In addition, a novel sliding surface is presented for Inertial Wheel and Furuta Pendulum to achieve swingup control and global stabilization subjected to uncertainties.

Funder

King Saud University

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Control of an Underactuated Mechanical System with Reinforcement Learning Compensation;2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE);2023-10-25

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