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TeCVP: A Time-Efficient Control Method for a Hexapod Wheel-Legged Robot Based on Velocity Planning.
Sun, Junkai; Sun, Zezhou; Li, Jianfei; Wang, Chu; Jing, Xin; Wei, Qingqing; Liu, Bin; Yan, Chuliang.
Afiliación
  • Sun J; School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, China.
  • Sun Z; Beijing Institute of Spacecraft System Engineering, Beijing 100094, China.
  • Li J; Beijing Institute of Spacecraft System Engineering, Beijing 100094, China.
  • Wang C; Beijing Institute of Spacecraft System Engineering, Beijing 100094, China.
  • Jing X; Beijing Institute of Spacecraft System Engineering, Beijing 100094, China.
  • Wei Q; State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150006, China.
  • Liu B; Beijing Institute of Spacecraft System Engineering, Beijing 100094, China.
  • Yan C; Beijing Institute of Spacecraft System Engineering, Beijing 100094, China.
Sensors (Basel) ; 23(8)2023 Apr 17.
Article en En | MEDLINE | ID: mdl-37112388
ABSTRACT
Addressing the problem that control methods of wheel-legged robots for future Mars exploration missions are too complex, a time-efficient control method based on velocity planning for a hexapod wheel-legged robot is proposed in this paper, which is named time-efficient control based on velocity planning (TeCVP). When the foot end or wheel at knee comes into contact with the ground, the desired velocity of the foot end or knee is transformed according to the velocity transformation of the rigid body from the desired velocity of the torso which is obtained by the deviation of torso position and posture. Furthermore, the torques of joints can be obtained by impedance control. When suspended, the leg is regarded as a system consisting of a virtual spring and a virtual damper to realize control of legs in the swing phase. In addition, leg sequences of switching motion between wheeled configuration and legged configuration are planned. According to a complexity analysis, velocity planning control has lower time complexity and less times of multiplication and addition compared with virtual model control. In addition, simulations show that velocity planning control can realize stable periodic gait motion, wheel-leg switching motion and wheeled motion and the operation time of velocity planning control is about 33.89% less than that of virtual model control, which promises a great prospect for velocity planning control in future planetary exploration missions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China
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