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
12386321 · 2025-08-12 · ·

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
20250348046 · 2025-11-13 · ·

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.