Wan Mohd Nafis, Wan Lezaini and Addie Irawan, Hashim and A. R., Razali (2018) Impedance control approach on leg motion speed variation on soft surface interaction. International Journal of Engineering & Technology, 7 (4.27). pp. 1-6. ISSN 2227-524X. (Published)
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Abstract
This article presents the leg speed variation control using impedance control approach on soft surface displacement motion. One of the challenging fields of designing a legged robot that can be equipped with adaptation ability is it dynamic control which majorly involved in interaction with the environment. Numerous researchers have been widely implemented impedance control as dynamic interaction but less emphasized in adapting soft terrain. Most of the impedance control implementation on the legged robot on rough terrain emphasized on position changes, and it may not practical for legged robot navigate on the soft terrain. Soft terrain contains different ground stiffness and medium viscosities. Thus, this study has taken the initiative to propose a speed variation control on a robot’s leg by using a force-based impedance control approach to increase the leg energy exchanges specifically on foot placement. The proposed control was validated in actual robot’s leg, and performances show that the energy in the leg increases as the velocity of leg motion increase due to increase in force feedback while maintaining the shape of the leg motion.
Item Type: | Article |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Energy; Impedance control; Legged robot; Mobile robot; Speed variation of motion |
Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Faculty of Electrical & Electronic Engineering Faculty of Mechanical Engineering |
Depositing User: | Mrs. Neng Sury Sulaiman |
Date Deposited: | 21 Nov 2018 04:17 |
Last Modified: | 07 Sep 2020 09:03 |
URI: | http://umpir.ump.edu.my/id/eprint/22409 |
Download Statistic: | View Download Statistics |
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