2016
DOI: 10.1109/access.2016.2637822
|View full text |Cite
|
Sign up to set email alerts
|

Linear State Feedback Regulation of a Furuta Pendulum: Design Based on Differential Flatness and Root Locus

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
27
0
1

Year Published

2017
2017
2024
2024

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 30 publications
(28 citation statements)
references
References 55 publications
0
27
0
1
Order By: Relevance
“…The experimental results are reported as follows. On the one hand, in Figures 5 and 6, the results associated with the hierarchical controller, that is, Equations (32) and (33), correspond to υ h , i h , u 1av h , ω h , i a h , and u 2av h . The results related to the passive controller, that is, Equations (36) and (37), are υ p , i p , u 1av p , ω p , i a p , and u 2av p .…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…The experimental results are reported as follows. On the one hand, in Figures 5 and 6, the results associated with the hierarchical controller, that is, Equations (32) and (33), correspond to υ h , i h , u 1av h , ω h , i a h , and u 2av h . The results related to the passive controller, that is, Equations (36) and (37), are υ p , i p , u 1av p , ω p , i a p , and u 2av p .…”
Section: Resultsmentioning
confidence: 99%
“…• Controllers. In this block, the synthesis and programming of the hierarchical controller Equations (32) and (33) and the passive controller Equations (36) and 37is carried-out via Matlab-Simulink. The corresponding program is shown in Figure 3, where the following four stages are observed: (i) Signals acquisition, (ii) Reference variables, (iii) Hierarchical controller, and (iv) Passive controller.…”
Section: Experimental Testbedmentioning
confidence: 99%
See 2 more Smart Citations
“…In [25], the authors design a robust control approach for the rotary inverted double pendulum, where the regulated signal does not depend on the control 20 input as our control design does. Almost all of them are designed to fulfill the regulation and tracking control objectives, being robust against external perturbations [26]- [32]. The usual theory to solve a tracking problem is based on reducing the error between the actual position and the desired trajectory (see [30]- [36] and references in it).…”
Section: Introductionmentioning
confidence: 99%