Journal
ADVANCES IN MECHANICAL ENGINEERING
Volume 10, Issue 10, Pages -Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/1687814018801261
Keywords
Parallel robot; sliding control; fuzzy neural network; 6 degrees of freedom; radial basis function learning
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Funding
- Important Research Programs of Science and Technology Plan of Zhenjiang City [GY2016002]
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With the advancement in research on parallel robots, control theory is increasingly applied in the field of robotics. Owing to its robustness, sliding mode variable structure control is extensively used in parallel robots. This article presents an adaptive sliding mode control method for nonlinear systems. A parallel robot control model with adaptive fuzzy sliding mode control was designed based on a fuzzy neural network control theory, and simulation results demonstrate its effectiveness of the method.
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