Universal Walking Control Framework of Biped Robot Based on Dynamic Model and Quadratic Programming

Xiaokun Leng, Songhao Piao, Lin Chang, Zhicheng He and Zheng Zhu

Complexity, 2020, vol. 2020, 1-13

Abstract:

Biped robot research has always been a research focus in the field of robot research. Among them, the motion control system, as the core content of the biped robot research, directly determines the stability of the robot walking. Traditional biped robot control methods suffer from low model accuracy, poor dynamic characteristics of motion controllers, and poor motion robustness. In order to improve the walking robustness of the biped robot, this paper solves the problem from three aspects: planning method, mathematical model, and control method, forming a robot motion control framework based on the whole-body dynamics model and quadratic planning. The robot uses divergent component of motion for trajectory planning and introduces the friction cone contact model into the control frame to improve the accuracy of the model. A complete constraint equation system can ensure that the solution of the controller meets the dynamic characteristics of the biped robot. An optimal controller is designed based on the control framework, and starting from the Lyapunov function, the convergence of the optimal controller is proved. Finally, the experimental results show that the method is robust and has certain anti-interference ability.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:2789039

DOI: 10.1155/2020/2789039

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