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Grey Wolf Optimization-Based Second Order Sliding Mode Control for Inchworm Robot

Published online by Cambridge University Press:  18 November 2019

Rupam Gupta Roy Open the ORCID record for Rupam Gupta Roy [Opens in a new window]  and
Dibyendu Ghoshal
Rupam Gupta Roy*
Affiliation:
Department of Electronics and Instrumentation Engineering, National Institute of Technology, Agartala, Jirania, Tripura, India
Dibyendu Ghoshal
Affiliation:
Department of Electronics and Communication Engineering, National Institute of Technology, Agartala, Jirania, Tripura, India, E-mail: [email protected]
*
*Corresponding author. E-mail: [email protected]
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Summary

The flexible motion of the inchworm makes the locomotion mechanism as the prominent one than other limbless animals. Recently, the application of engineering greatly assists the inchworm locomotion to be applicable in the robotic mechanism. Due to the outstanding robustness, sliding mode control (SMC) has been validated as a robust control strategy for diverse types of systems. Even though the SMC techniques have made numerous achievements in several fields, some systems cannot be comfortably accepted as the general SMC approaches. Accordingly, this paper develops the Grey Wolf-Second order sliding mode control (GW-SoSMC) to control the manipulator of the inchworm robot. The GW-SoSMC reduces the chattering phenomenon of SMC and improves the controlling ability of SoSMC by weightage function. Subsequently, it compares the performance of the proposed method with several conventional techniques like Grey Wolf-SMC (GW-SMC), FireFly-SoSMC (FF-SoSMC), Artificial Bee Colony-SoSMC (ABC-SoSMC), Group Searching-SoSMC (GS-SoSMC), and Genetic Algorithm-SoSMC (GA-SoSMC). It portrays the valuable comparative analysis by measuring the accomplished joint angles, error, and response of the controller. Thus the proposed method discovers the supervisory controller for the inchworm robot that is immensely better than conventional controllers mentioned earlier.

Keywords

Inchworm robotControllerSMCSoSMCGrey Wolf Optimization
Type
Articles
Information
Robotica , Volume 38 , Issue 9 , September 2020 , pp. 1539 - 1557
Copyright
© Cambridge University Press 2019

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