Multi-objective optimization of snake robot in serpentine locomotion

Badran, Marwan A A and Khan, Md. Raisuddin and Toha, Siti Fauziah and Zainal Abidin, Zulkifli (2021) Multi-objective optimization of snake robot in serpentine locomotion. IIUM Engineering Journal,, 22 (2). pp. 364-383. ISSN 1511=788X

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Abstract

This paper presents multi-objective optimization for a snake robot with serpentine locomotion. Genetic algorithm (GA) is used to achieve two objectives: minimizing the total travelling time and minimizing the total energy consumption. The effect of initial values of winding angle and acceleration on energy consumption and average speed is depicted. The simulation results show a periodic pattern of the joint torques when the robot maintains a serpenoid curve during travel. Moreover, a Pareto-optimal front was generated for optimal solutions of both of the objectives, while the weighted sum method was used for selecting the best solution. Finally, the simulation results were verified experimentally on an eight-link snake robot considering the limitations of the servomotors used in the experiment. The experimental results with the winding angle of 30° was found as the optimum winding angle that can achieve both objectives of minimizing the energy consumption and the travelling time.

Item Type:	Article (Journal)
Uncontrolled Keywords:	snake robot; serpentine locomotion; genetic algorithm; multi-objective optimization; Pareto optimality
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr. Siti Fauziah Toha
Date Deposited:	28 Sep 2021 09:22
Last Modified:	28 Sep 2021 09:22
URI:	http://irep.iium.edu.my/id/eprint/92529

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