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pro vyhledávání: '"robot manipulators"'
Akademický článek
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Publikováno v:
مهندسی مخابرات جنوب, Vol 12, Iss 46, Pp 77-91 (2024)
In this paper, a robust dynamic slip mode controller for an electrical robot manipulator is presented. The control law calculates the motor voltage based on the voltage control strategy. Uncertainties are estimated using the Fourier series expansion
Externí odkaz:
https://doaj.org/article/b3a3669733644e6491168ad412c2c705
Publikováno v:
مهندسی مخابرات جنوب, Vol 12, Iss 45, Pp 75-91 (2024)
In this paper, a new method for robust control is used. The whole robotic system, including the robot arm and motors in control, is considered. The main purpose of this article is to obtain the best results of the control law in order to achieve the
Externí odkaz:
https://doaj.org/article/aecb481f711c427c8f6faba024b332ac
Publikováno v:
IEEE Access, Vol 12, Pp 159138-159151 (2024)
Traditional coordinated motion planning schemes for mobile robot manipulators are primarily designed at the velocity level, which limits their applicability to acceleration-oriented systems. To address this limitation, this paper proposes, for the fi
Externí odkaz:
https://doaj.org/article/16f6279af4334693a5e3c49fb3efd58d
Publikováno v:
IEEE Access, Vol 12, Pp 67809-67819 (2024)
Trajectory tracking control for robot manipulators is an attractive topic in the research community. This is a challenging problem because robot manipulators are complex nonlinear systems. Furthermore, the tracking control performance for robot manip
Externí odkaz:
https://doaj.org/article/da6eb676230c47c9a0d1e2da0624bf53
Publikováno v:
IEEE Access, Vol 12, Pp 42264-42278 (2024)
A novel adaptive robust hybrid force/position control (ARHFPC) strategy is proposed for robot manipulator systems subject to dynamic uncertainties and unknown matched and mismatched disturbances under input saturation. First, the position controller
Externí odkaz:
https://doaj.org/article/eee51223fdc2454fa20b15a7a3dd86b5
Publikováno v:
IEEE Access, Vol 12, Pp 25820-25834 (2024)
In this paper, a prescribed-time adaptive $H_{\infty }$ cooperative strategy with novel prescribed performance and input quantization based on a leader state observer is proposed for uncertain multiple robot manipulators. First, a novel prescribed pe
Externí odkaz:
https://doaj.org/article/3442904981f340afaa436f88dbab6058
Publikováno v:
IEEE Access, Vol 12, Pp 20574-20590 (2024)
The challenge in controlling a manipulator robot is to model the system to obtain an efficient control system design. One approach that can be used to model the dynamics of a manipulator robot is data-driven modeling. However, in its implementation,
Externí odkaz:
https://doaj.org/article/988b61169184495c824feaa8a63a5fe2
Publikováno v:
IEEE Access, Vol 12, Pp 1794-1804 (2024)
This article proposes a singularity-free fixed-time neuro-adaptive control strategy for robot manipulators, with the goal of addressing trajectory-tracking challenges presented by model uncertainties, external disturbances, and input saturation. To m
Externí odkaz:
https://doaj.org/article/b91b3176f18b4205b3485da757bb12ac
Autor:
Bikram Koirala, Abdollah Zakeri, Jiming Kang, Abishek Kafle, Venkatesh Balan, Fatima A. Merchant, Driss Benhaddou, Weihang Zhu
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9229 (2024)
The global demand for button mushrooms has surged in recent years, driven by their health benefits, creating a significant challenge for the mushroom industry in meeting this increasing demand. The increasing reliance on human labor, which is becomin
Externí odkaz:
https://doaj.org/article/527b9c313f1245938fb384900a3d868d