RA-L 20227 citations

Conditional Disturbance Negation Based Control for an Omnidirectional Mobile Robot: An Energy Perspective

Chao Ren, Hongjian Jiang, Chaoxu Mu, Shugen Ma

Abstract

Disturbances widely exist in all control systems. Disturbance observers are commonly employed to estimate the disturbances which are often fully compensated in the control signal. However, one rarely recognized fact is that disturbances may be beneficial to the control performances and thus can be effectively exploited. In this letter, from an energy balance point, a conditional disturbance negation (CDN) control scheme is designed for an omnidirectional mobile robot, yielding a physically interpretable design. By energy analysis, the forces imposed on the robot are classified into workless force, internal damping force, and lumped disturbance force, wherein the later two are effectively exploited. A judgment function is designed to determine whether the disturbance is beneficial to the control performance, allowing the controller to selectively compensate the estimated disturbances. Convergence of the proposed control system is analyzed. Finally, both simulations and experimental results show that the proposed control scheme can achieve better performance against conventional full disturbance compensation control scheme, if the disturbances contain beneficial parts.

BibTeX
@inproceedings{ral2022_conditionaldistu,
  title = {Conditional Disturbance Negation Based Control for an Omnidirectional Mobile Robot: An Energy Perspective},
  author = {Chao Ren and Hongjian Jiang and Chaoxu Mu and Shugen Ma},
  booktitle = {RA-L 2022},
  year = {2022}
}