Journal of System Simulation
Abstract
Abstract: In order to solve the problem of trajectory tracking and vibration suppression control for parameter unknown flexible-joints space robot system, a joint flexibility compensation controller was introduced to improve the equivalent stiffness of the joint; by using the singular perturbation method, the system was decomposed into a slow subsystem and a fast subsystem. For the slow subsystem, the adaptive fuzzy H∞ control algorithm was designed; by using the fuzzy logic system to approximate the system uncertainty, a robust H∞ control was used to eliminate the influence of the fuzzy approximation legacy of error to the output tracking error. For the fast subsystem, the speed difference between the feedback control law was used to suppress the elastic vibration of flexible joints which was caused by system. Numerical simulation results show that the proposed control algorithm can control the joint tracking of the space robot with flexible joints accurately and steadily, and suppress actively vibration of flexible joints, which proves the validity of the controller.
Recommended Citation
Zhang, Lijiao and Li, Chen
(2020)
"Adaptive Fuzzy Robust H∞ Control of Flexible-joint Space Robot,"
Journal of System Simulation: Vol. 29:
Iss.
6, Article 9.
DOI: 10.16182/j.issn1004731x.joss.201706009
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss6/9
First Page
1223
Revised Date
2015-11-09
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201706009
Last Page
1228
CLC
TP241
Recommended Citation
Zhang Lijiao, Chen Li. Adaptive Fuzzy Robust H∞ Control of Flexible-joint Space Robot[J]. Journal of System Simulation, 2017, 29(6): 1223-1228.
DOI
10.16182/j.issn1004731x.joss.201706009
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons