2021
DOI: 10.18196/26139
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Global Saturated Regulator with Variable Gains for Robot Manipulators

Abstract: In this paper we propose a set of saturated controllers with variable gains to solve the regulation problem for robot manipulators in joint space. These control schemes deliver torques inside prescribed limits of servomotors. The gamma of variable gains is formed by continuous, smooth, and differentiable functions of the joint position error and velocity of manipulator. A strict Lyapunov function is proposed to demonstrate globally asymptotic stability of the close-loop equilibrium point. Finally, the function… Show more

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Cited by 3 publications
(2 citation statements)
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“…Alternatively, a diverged outlook was exempted by Luo et al, Cao et al and Bu on the adaptation of intelligent control towards enhance sensory tracking of said error transformation control approach [43][44][45]. With a wide range of formulations being undertaken towards PPC, in-depth priority was further relocated to the system's PPF on its immense potential for enhanced real-time applications [46][47][48][49][50][51][52][53][54].…”
Section: Introductionmentioning
confidence: 99%
“…Alternatively, a diverged outlook was exempted by Luo et al, Cao et al and Bu on the adaptation of intelligent control towards enhance sensory tracking of said error transformation control approach [43][44][45]. With a wide range of formulations being undertaken towards PPC, in-depth priority was further relocated to the system's PPF on its immense potential for enhanced real-time applications [46][47][48][49][50][51][52][53][54].…”
Section: Introductionmentioning
confidence: 99%
“…The manipulator is designed to achieve target points in the workspace by adjusting the robot joint angles to move the end-effector to the prescribed target [23]. The control schemes are presented to deliver the torque within limits [24]. Robotic arms certainly run into singular configurations during movement resulting in poor performance, thus discerning the singularities is extremely essential [25].…”
Section: Introductionmentioning
confidence: 99%