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Industrial robot control in case of uncertain dynamical parameters

Imre J. Rudas, Gyula Mester

发表年份
2002
引用次数
2

摘要

The novel control method presented addresses the problem to design a nonlinear feedback controller in case of uncertain dynamical parameters and other disturbances. The input torques necessary to drive the robot manipulator are on-line computed as a function of the unbiased, minimum variance estimates of the joint coordinates and velocities, and the corrected accelerations. The state estimator is given by the discrete Schmidt-Kalman filter. The development of the system model, the control law and the implementation of the technique are outlined.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

关键词

Control theory (sociology)EstimatorKalman filterController (irrigation)RobotExtended Kalman filterComputer scienceNonlinear systemControl engineeringMathematics

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