2015
DOI: 10.9734/psij/2015/18253
|View full text |Cite
|
Sign up to set email alerts
|

Robustness Analysis of a Closed-loop Controller for a Robot Manipulator in Real Environments

Abstract: The need to design a robot manipulator that can complete tasks satisfactorily in the presence of significant uncertainties brought about the continued advance research in robust system design. This paper focuses on the robustness analysis of a closed-loop controller for robot manipulator in real environment. The neglect of wide range of uncertainties and failure to study the fundamental behavioral responses during design stage of a control system result to the system failure in real environments. The robustnes… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 20 publications
0
4
0
Order By: Relevance
“…Development of Robust SVC controllers using H-Infinity control technique, structured singular value, and quantitative feedback theory (QFT) was presented to improve system damping [19,20]. Robustness control analysis was presented in Agbaraji [26]. Genetic algorithms and fuzzy logic-based methodologies were projected for static var compensation in [21,22].…”
Section: The Use Of Flexible Alternating Currentmentioning
confidence: 99%
“…Development of Robust SVC controllers using H-Infinity control technique, structured singular value, and quantitative feedback theory (QFT) was presented to improve system damping [19,20]. Robustness control analysis was presented in Agbaraji [26]. Genetic algorithms and fuzzy logic-based methodologies were projected for static var compensation in [21,22].…”
Section: The Use Of Flexible Alternating Currentmentioning
confidence: 99%
“…Since the controller design objective is to be able to cancel the effects of possible uncertainty that exists or may arise in the system hence, assuming uncertainty bounds for the controller design limits the robustness capability of the controller when implemented. In order to achieve a robust system therefore, the controller is designed based on the robustness specifications and analysis [21]. Uncertainty can be in any parameter, such as the load carrying by the end effector [22].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The step function analysis [27] of the plant which comprises of the TCP and queue models in bode plot measures the stability characteristics of the plant before designing a controller for the plant. Since a plant is supposed to be stable before designing a controller for it, then it becomes very important to carry out this analysis before designing a controller for the system in order to achieve the aim of this research.…”
Section: Step Function Analysis Of the Plantmentioning
confidence: 99%