A novel model-based robust control design for collaborative robot joint module

In order to reduce the impact of load and system parameter changes on the dynamic performance of collaborative robot joint module, a novel robust control algorithm is proposed in this paper to solve the problem of dynamic control of collaborative robot joint module trajectory tracking. The controlle...

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Bibliographic Details
Published in:Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science Journal of mechanical engineering science, 2022-05, Vol.236 (9), p.4520-4532
Main Authors: Zhen, ShengChao, Cui, WangXu, Liu, XiaoLi, Meng, GuanJun, Chen, Ye-Hwa
Format: Article
Language:English
Subjects:
Algorithms
Collaboration
Computer simulation
Control algorithms
Control theory
Controllers
Dynamic control
Dynamic models
Minimax technique
Modules
Parameter uncertainty
Robot control
Robots
Robust control
Tracking control
Trajectory control
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Summary:In order to reduce the impact of load and system parameter changes on the dynamic performance of collaborative robot joint module, a novel robust control algorithm is proposed in this paper to solve the problem of dynamic control of collaborative robot joint module trajectory tracking. The controller is composed of two parts: one is a nominal control term designed based on the dynamical model, aiming to stabilize the nominal robot system; the other is a robust control term based on the Lyapunov method, aiming to eliminate the influence of uncertainty on tracking performance, where the uncertainties include nonlinear friction, parameter uncertainty, and external disturbances. The Lyapunov minimax method is adopted to prove that the system is uniformly bounded and uniformly ultimately bounded. We performed numerical simulation and experimental validation based on an actual collaborative robot joint module experimental platform and the rapid controller prototype cSPACE. The numerical simulation and experimental results show that the controller has excellent control performance for the collaborative robot joint module and provides more accurate trajectory tracking under the influence of uncertainties.
ISSN:0954-4062
2041-2983
DOI:10.1177/09544062211054753