Adaptive Super-Twisting Sliding Mode Control for Mobile Robots Based on High-Gain Observers

Joint Authors

Liu, Haitao
Nie, Jianhao
Sun, Jian
Tian, Xuehong

Source

Journal of Control Science and Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-08-01

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Electronic engineering
Information Technology and Computer Science

Abstract EN

In this paper, a robust adaptive output feedback control strategy based on a sliding mode super-twisting algorithm is designed for the trajectory tracking control of a wheeled mobile robot.

First, a robust adaptive law is designed to eliminate the influence of parameter uncertainties.

Second, a double-power sliding mode surface is designed to improve the response speed of the robot system.

Finally, a high-gain observer is employed to estimate the speed information.

The stability of the closed-loop system is proved using the Lyapunov stability theorem.

The effectiveness of the proposed control strategy is verified by simulation.

American Psychological Association (APA)

Liu, Haitao& Nie, Jianhao& Sun, Jian& Tian, Xuehong. 2020. Adaptive Super-Twisting Sliding Mode Control for Mobile Robots Based on High-Gain Observers. Journal of Control Science and Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1182679

Modern Language Association (MLA)

Liu, Haitao…[et al.]. Adaptive Super-Twisting Sliding Mode Control for Mobile Robots Based on High-Gain Observers. Journal of Control Science and Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1182679

American Medical Association (AMA)

Liu, Haitao& Nie, Jianhao& Sun, Jian& Tian, Xuehong. Adaptive Super-Twisting Sliding Mode Control for Mobile Robots Based on High-Gain Observers. Journal of Control Science and Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1182679

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1182679