Robotics & Machine Learning Daily News2024,Issue(Feb.13) :92-93.DOI:10.1142/s0218348x24500312

Researcher from Jeddah Provides Details of New Studies and Findings in the Area of Robotics (on The Asymptotic Stability of A New Fractional-order Sliding Mode Control With Application To Robotic Systems)

Robotics & Machine Learning Daily News2024,Issue(Feb.13) :92-93.DOI:10.1142/s0218348x24500312

Researcher from Jeddah Provides Details of New Studies and Findings in the Area of Robotics (on The Asymptotic Stability of A New Fractional-order Sliding Mode Control With Application To Robotic Systems)

扫码查看

Abstract

Fresh data on robotics are presented in a new report. According to news reporting from Jeddah, Saudi Arabia, by NewsRx journalists, research stated, “This paper presents an advanced control strategy based on Fractional-Order Sliding Mode Control (FO-SMC), which introduces a robust solution to significantly improve the reliability of robotic manipulator systems and increase its control performance.” Funders for this research include King Abdulaziz University. Our news reporters obtained a quote from the research from Department of Electrical and Computer Engineering: “The proposed FO-SMC strategy includes a two-key term-based Fractional Sliding Function (FSF) that presents the main contribution of this work. Additionally, a fractional-order-based Lyapunov stability analysis is developed for a class of nonlinear systems to guarantee the asymptotic stability of the closed loop system.” According to the news editors, the research concluded: “Four FSF-based versions of the designed FO-SMC are studied and discussed. Various scenarios of the proposed control strategy are tested on a 3-degree-of-freedom SCARA robotic arm and compared to recent FO-SMC works, demonstrating the effectiveness of the new proposed control strategy to (i) ensure the asymptotic stability, (ⅱ) achieve a smooth start-up, (ⅲ) cancel the static error, giving a good tracking trajectory, and (ⅳ) reduce the control torques, yielding a consumed energy minimization.”

Key words

Department of Electrical and Computer Engineering/Jeddah/Saudi Arabia/Asia/Emerging Technologies/Machine Learning/Robotics/Robots

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
参考文献量31
段落导航相关论文