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rdf:type
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Description
| - A combined optimal control method for robot manipulators is presented. The approach includes iterative linearization (IL), iterative learning control (ILC) and parametric optimization. The robot is assumed to perform a repeated task such as pick and place parts in an assembly line. Accordingly, in each trial in which the robot performs the task, a linear time variant (LTV) version of its nonlinear dynamics model is obtained (using IL) and at the same time an optimal control input for this LTV is computed by a parametric optimization method. The optimal solution of each trial is stored in memory of the system to compute the optimal solution in the next trial (ILC). This procedure is repeated so that after a finite number of trials, the sequence of optimal solution of LTVs converges to the robot’s optimal control input. Two outstanding features of this method consist in the fact that the optimal control problem is solved gradually during some trials while the time necessary to compute the optimal control input is divided into some trials, and that the optimal solution of each trial is used as the initial guess of the next optimization problem. Hence, the global optimal solution is finally achieved.
- A combined optimal control method for robot manipulators is presented. The approach includes iterative linearization (IL), iterative learning control (ILC) and parametric optimization. The robot is assumed to perform a repeated task such as pick and place parts in an assembly line. Accordingly, in each trial in which the robot performs the task, a linear time variant (LTV) version of its nonlinear dynamics model is obtained (using IL) and at the same time an optimal control input for this LTV is computed by a parametric optimization method. The optimal solution of each trial is stored in memory of the system to compute the optimal solution in the next trial (ILC). This procedure is repeated so that after a finite number of trials, the sequence of optimal solution of LTVs converges to the robot’s optimal control input. Two outstanding features of this method consist in the fact that the optimal control problem is solved gradually during some trials while the time necessary to compute the optimal control input is divided into some trials, and that the optimal solution of each trial is used as the initial guess of the next optimization problem. Hence, the global optimal solution is finally achieved. (en)
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Title
| - Combined Optimal Control Technique for Robot Manipulators
- Combined Optimal Control Technique for Robot Manipulators (en)
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skos:prefLabel
| - Combined Optimal Control Technique for Robot Manipulators
- Combined Optimal Control Technique for Robot Manipulators (en)
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skos:notation
| - RIV/46747885:24220/11:#0002143!RIV13-MSM-24220___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/46747885:24220/11:#0002143
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Robot manipulator; optimal control; iterative linearization; spline function; performance criterion (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Chatraei, Abbas
- Záda, Václav
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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