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A new variable structure controller for robot manipulators with a nonlinear PID sliding surface
Faculty
Engineering
Year:
2012
Type of Publication:
ZU Hosted
Pages:
503-510
Authors:
Khaled Roshdy ElHosainy Atia
Staff Zu Site
Abstract In Staff Site
Journal:
ROBOTICA Cambridge University Press
Volume:
31
Keywords :
, , variable structure controller , robot manipulators with
Abstract:
In this paper a new sliding mode controller for set-point control of robot manipulators is proposed. The controller does not use any part of the robot dynamics in the control law. Thus, it is structurally simpler than other sliding mode controllers where the control law uses a nominal model of the robot dynamics. The controller uses a new nonlinear Proportional-Integral-Derivative (PID) sliding surface. The stability of the controlled robot dynamics is proved. On applying the boundary-layer approach to remove chattering, a nonlinear PID controller exists inside the boundary layer. This PID controller ensures that the error tend to zero asymptotically if there is no disturbances applied to the robot dynamics.
Author Related Publications
Khaled Roshdy ElHosainy Atia, "Optimization of PID trajectory tracking controller for a 3-DOF robotic manipulator using enhanced Artificial Bee Colony algorithm", Nature Portfolio, 2023
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Khaled Roshdy ElHosainy Atia, "Optimized sliding mode controller for trajectory tracking of flexible joints three-link manipulator with noise in input and output", Nature Portfolio, 2023
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Khaled Roshdy ElHosainy Atia, "Modeling of PID controlled 3DOF robotic manipulator using Lyapunov function for enhancing trajectory tracking and robustness exploiting Golden Jackal algorithm", Science direct, 2024
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Khaled Roshdy ElHosainy Atia, "A New PID Controller with independent gains for set-point control of robot manipulators", Ain Shams University, 2008
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Khaled Roshdy ElHosainy Atia, "Enhancing robustness and noise rejection in flexible joint manipulators: an optimized sliding mode controller with enhanced gray wolf optimization for trajectory tracking", Springer Nature, 2023
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