Patent classifications
G05B2219/41039
Robot controlling method and welding method
A robot controlling method for operating an arm using a motor includes: performing, before the arm stops, addition to add a backlash compensation value to a position command which is input to the motor; and performing, in a period during which the robot arm is not in motion, subtraction to reduce the backlash compensation value added to the position command.
ROBOT CONTROLLING METHOD AND WELDING METHOD
A robot controlling method for operating an arm using a motor includes: performing, before the arm stops, addition to add a backlash compensation value to a position command which is input to the motor; and performing, in a period during which the robot arm is not in motion, subtraction to reduce the backlash compensation value added to the position command.
Adaptive engine for tracking and regulation control using a control law selector and combiner
An adaptive engine and a method of adaptive control are disclosed. The method comprises receiving an input regressor, where the input regressor comprises a reference signal, a system output measurement, and a control output. The method includes applying one or more estimation laws to the input regressor to estimate two or more sets of estimated model parameter tensors, ; receiving two or more possible control signals; generating two or more estimated system outputs; and selecting a control signal from a set comprising at least the first possible control signal and the second possible control signal, or a combination of possible control signals blended from two or more of the sets.
ADAPTIVE ENGINE FOR TRACKING AND REGULATION CONTROL USING A CONTROL LAW SELECTOR AND COMBINER
An adaptive engine and a method of adaptive control are disclosed. The method comprises receiving an input regressor, where the input regressor comprises a reference signal, a system output measurement, and a control output. The method includes applying one or more estimation laws to the input regressor to estimate two or more sets of estimated model parameter tensors, ; receiving two or more possible control signals; generating two or more estimated system outputs; and selecting a control signal from a set comprising at least the first possible control signal and the second possible control signal, or a combination of possible control signals blended from two or more of the sets.