Proceedings of 1994 American Control Conference - ACC '94
DOI: 10.1109/acc.1994.751809
|View full text |Cite
|
Sign up to set email alerts
|

A QFT controller design implementation for a worm gear driven manipulator joint

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 2 publications
0
3
0
Order By: Relevance
“…For instance, the model in [1] contains implicit variables in the dynamic equations and thus can not be directly used for controller design. The classical and the QFT controllers respectively proposed in [2] and [3] are linear controllers. They may not have sufficient robustness to deal with variations of the system parameters caused by the speed-dependent nature of the co efficient of friction.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For instance, the model in [1] contains implicit variables in the dynamic equations and thus can not be directly used for controller design. The classical and the QFT controllers respectively proposed in [2] and [3] are linear controllers. They may not have sufficient robustness to deal with variations of the system parameters caused by the speed-dependent nature of the co efficient of friction.…”
Section: Introductionmentioning
confidence: 99%
“…Reference [4] showed that the dynamics of a cantilevered manipulator driven through a worm-gear are switched between two sets of nonlinear differential equations. These two sets of nonlinear equations are linearized around a nominal trajectory and are then used as the plant model for designing a classical lead-lag controller [2] and a QFT controller [3].…”
Section: Introductionmentioning
confidence: 99%
“…This friction model consists of implicit parameters in the dynamic equations, although these parameters cannot be directly applied in the controller design. Then, velocity lead–lag and quantitative feedback controllers were proposed in May et al, 26,27 respectively. These are linear controllers and may not be robust enough to deal with the system’s uncertainties.…”
Section: Introductionmentioning
confidence: 99%