Static Force Analysis of Foot of Electrically Driven Heavy-Duty Six-Legged Robot under Tripod Gait

• Published in: Chinese journal of mechanical engineering 2018-12, Vol.31 (1), p.50-64, Article 63
• Main Authors: Liu, Zhen, Zhuang, Hong-Chao, Gao, Hai-Bo, Deng, Zong-Quan, Ding, Liang
• Format: Article
• Language: English
• Subjects: Carrying capacity; Electrical Machines and Networks; Electronics and Microelectronics; Engineering; Engineering Thermodynamics; Force distribution; Gait recognition; Heat and Mass Transfer; Instrumentation; Machines; Manufacturing; Mechanical Engineering; Mechanism and Robotics; Original Article; Power consumption; Power Electronics; Processes; Robots; Space exploration; Stability; Stress concentration; Theoretical and Applied Mechanics; Walking
• ISSN: 1000-9345; 2192-8258
• DOI: 10.1186/s10033-018-0263-0

The electrically driven six-legged robot with high carrying capacity is an indispensable equipment for planetary exploration, but it hinders its practicability because of its low efficiency of carrying energy. Meanwhile, its load capacity also affects its application range. To reduce the power consumption, increase the load to mass ratio, and improve the stability of robot, the relationship between the walking modes and the forces of feet under the tripod gait are researched for an electrically driven heavy-duty six-legged robot. Based on the configuration characteristics of electrically driven heavy-duty six-legged, the typical walking modes of robot are analyzed. The mathematical models of the normal forces of feet are respectively established under the tripod gait of typical walking modes. According to the MATLAB software, the variable tendency charts are respectively gained for the normal forces of feet. The walking experiments under the typical tripod gaits are implemented for the prototype of electrically driven heavy-duty six-legged robot. The variable tendencies of maximum normal forces of feet are acquired. The comparison results show that the theoretical and experimental data are in the same trend. The walking modes which are most available to realize the average force of distribution of each foot are confirmed. The proposed method of analyzing the relationship between the walking modes and the forces of feet can quickly determine the optimal walking mode and gait parameters under the average distribution of foot force, which is propitious to develop the excellent heavy-duty multi-legged robots with the lower power consumption, larger load to mass ratio, and higher stability.