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Integral terminal sliding mode formation control of non-holonomic robots using leader follower approach

Published online by Cambridge University Press:  12 May 2016

Muhammad Asif ,
Muhammad Junaid Khan  and
Attaullah Y. Memon
Muhammad Asif*
Affiliation:
Electronic Engineering Department, Sir Syed University of Engineering and Technology, Karachi, Pakistan E-mail: [email protected] Department of Electronics and Power Engineering, PN Engineeering College (PNEC), National University of Sciences and Technology (NUST), Islamabad, Pakistan. E-mails: [email protected], [email protected]
Muhammad Junaid Khan
Affiliation:
Department of Electronics and Power Engineering, PN Engineeering College (PNEC), National University of Sciences and Technology (NUST), Islamabad, Pakistan. E-mails: [email protected], [email protected]
Attaullah Y. Memon
Affiliation:
Department of Electronics and Power Engineering, PN Engineeering College (PNEC), National University of Sciences and Technology (NUST), Islamabad, Pakistan. E-mails: [email protected], [email protected]
*
*Corresponding author. E-mail: [email protected]
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Summary

Multi-robot formation control has become an important area of research due to its advantages and applications. This paper presents multi-robot formation control using a leader–follower approach without considering the leader's velocity information or estimation. The leader–follower formation is formulated by incorporating the model uncertainties and disturbances. A novel formation controller is presented using integral terminal sliding mode (ITSM) control, which drives the formation tracking error convergence to zero in finite-time. The stability of the close-loop control scheme is verified by using Lyapunov theory. Furthermore, obstacle detection and avoidance are incorporated to avoid collision while maintaining the formation. The effectiveness of the proposed controller is verified and validated using sine and lamniscate curve trajectories. Moreover, the performance of the proposed ITSM formation controller is compared with the standard linear sliding mode (LSM) control.

Type
Articles
Information
Robotica , Volume 35 , Issue 7 , July 2017 , pp. 1473 - 1487
Copyright
Copyright © Cambridge University Press 2016 

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