Model-free control of electrically driven robot manipulators using an extended state observer. (October 2020)
- Record Type:
- Journal Article
- Title:
- Model-free control of electrically driven robot manipulators using an extended state observer. (October 2020)
- Main Title:
- Model-free control of electrically driven robot manipulators using an extended state observer
- Authors:
- Saleki, Amir
Fateh, Mohammad Mehdi - Abstract:
- Abstract: This paper deals with the robust control of robot manipulators by presenting a novel voltage-based control approach. For this purpose, an Extended State Observer (ESO) is utilized to estimate the dynamical behaver of the system without any need to use the equations of motion including robot dynamics, actuator dynamics and their parameters in the proposed method. Convergence analysis proves that the estimated parameters converge to actual parameters asymptotically. The boundedness of tracking error is guaranteed through the Lyapunov theorem. Simulation results on an articulated robot driven by permanent magnet DC motors, and experimental implementation on a SCARA robot show that the proposed model-free controller has a satisfactory performance as compared to an adaptive uncertainty estimation-based controller.
- Is Part Of:
- Computers & electrical engineering. Volume 87(2020)
- Journal:
- Computers & electrical engineering
- Issue:
- Volume 87(2020)
- Issue Display:
- Volume 87, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 87
- Issue:
- 2020
- Issue Sort Value:
- 2020-0087-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10
- Subjects:
- Model-free control -- Voltage-based control approach -- Extended state observer -- Robot manipulator
Computer engineering -- Periodicals
Electrical engineering -- Periodicals
Electrical engineering -- Data processing -- Periodicals
Ordinateurs -- Conception et construction -- Périodiques
Électrotechnique -- Périodiques
Électrotechnique -- Informatique -- Périodiques
Computer engineering
Electrical engineering
Electrical engineering -- Data processing
Periodicals
Electronic journals
621.302854 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457906/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compeleceng.2020.106768 ↗
- Languages:
- English
- ISSNs:
- 0045-7906
- Deposit Type:
- Legaldeposit
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- Physical Locations:
- British Library DSC - 3394.680000
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