Optimal discrete-time control of robot manipulators in repetitive tasks
Authors
Abstract:
Optimal discrete-time control of linear systems has been presented already. There are some difficulties to design an optimal discrete-time control of robot manipulator since the robot manipulator is highly nonlinear and uncertain. This paper presents a novel robust optimal discrete-time control of electrically driven robot manipulators for performing repetitive tasks. The robot performs repetitive tasks by tracking a periodic trajectory. The proposed controller includes a discrete linear quadratic controller and a time-delay controller. To apply the discrete linear quadratic controller, a novel nominal model is obtained for the robotic system which is discrete, linear, and time-invariant. Then, nonlinearities and uncertainties of the robotic system are compensated by the robust time-delay controller. The proposed control law is verified by stability analysis and its effectiveness is illustrated by simulations. Recently, time-optimal and minimum-norm discrete repetitive control of robot manipulators has been proposed. Compared with it, the proposed control has an advantage of being free from manipulator dynamics, thus it is simpler, more robust, and less computational with smoother control efforts.
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optimal discrete-time control of robot manipulators in repetitive tasks
optimal discrete-time control of linear systems has been presented already. there are some difficulties to design an optimal discrete-time control of robot manipulator since the robot manipulator is highly nonlinear and uncertain. this paper presents a novel robust optimal discrete-time control of electrically driven robot manipulators for performing repetitive tasks. the robot performs repetit...
full textDiscrete-time repetitive optimal control: Robotic manipulators
This paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. The proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. This kind of control law is in the class of torque-based control in which the joint torques are generated by permanen...
full textdiscrete-time repetitive optimal control: robotic manipulators
this paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. the proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. this kind of control law is in the class of torque-based control in which the joint torques are generated by permanen...
full textDiscrete-time repetitive optimal control: Robotic manipulators
This paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. The proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. This kind of control law is in the class of torque-based control in which the joint torques are generated by permanen...
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full textdiscrete time robust control of robot manipulators in the task space using adaptive fuzzy estimator
this paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. a novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. parameters of the fuzzy estimator are adapted to minimize the estimat...
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Journal title
volume 2 issue 3
pages 35- 44
publication date 2013-01-14
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