A control device, a control program and a control system are provided. The control device includes: a first identification device for giving a first command as a command value to a drive device and determining a torque required for the controlled object to execute the first command; a second identification device for giving a second command as the command value and a third command as a compensation command to the drive device and determining a preceding switching time based on a response from the controlled object; a command value updating device for sequentially updating the command value based on a predetermined target trajectory; and a compensation command updating device for sequentially updating the compensation command based on the command value. The compensation command updating device updates the compensation command according to a moving direction after a reversal of the moving direction of the controlled object in the target trajectory.

The invention provides a control device comprising: an actual value obtaining part, obtaining a torque actual value and a velocity actual value, wherein the torque actual value represents a torque generated by the driving source and the velocity actual value represents a velocity of the motion body; an inferring part, which calculates an external force inferred value and a velocity inferred value every other operation period based on the torque actual value by using an operation formula of a predetermined model representing driving of the motion body, wherein the external force inferring value represents an external force generated by the control system; and an output part, evaluating a reliability of the external force inferred value based on the velocity inferred value calculated together if the inferring part calculates the external inferred value, and effectively outputting the external force inferred value when it is judged that there is a designated reliability.

A computer-implemented method for reducing friction within a machine tool is provided, including: a) reading a plurality of surrogate models for approximating friction compensation within a given machine tool, b) reading a friction compensation parameter set, c) determining a friction compensation result value for each surrogate model using the compensation parameter set, d) determining a weighted average friction compensation value of the friction compensation result values using the respective weighting factor, e) deducing a quality indicator for the friction compensation parameter set based on the weighted average friction compensation value, f) outputting the friction compensation parameter set, if the quality indicator fulfils a given quality criterion, or repeating b) to e) until the quality indicator fulfills the given quality criterion, g) applying the outputted friction compensation parameter set to the machine tool for reducing friction within the machine tool.