A high-precision turning device. The device has a base plate, a base, a support A, wherein a groove is formed in the center of the bottom surface of the base, and a lead screw passes through the groove; symmetrical T-shaped annular grooves are formed in two sides of the interior of the base, two symmetrical T-shaped annular columns are arranged on the lower end face of a turning block, and the T-shaped annular columns can be inserted into the T-shaped annular grooves; and the structure of a central position of the lower end face of the turning block is annular teeth, and the annular teeth are meshed with the lead screw. A servomotor drives the lead screw to rotate, and by virtue of meshing matching of the annular teeth and the lead screw, the turning block can turn along the centers of the T-shaped annular grooves in the base.

A machine learning device performs machine learning with respect to a servo control device including a velocity feedforward calculation unit. The machine learning device comprises: a state information acquisition unit configured to acquire from the servo control device, state information including at least position error, and combination of coefficients of a transfer function of the velocity feedforward calculation unit; an action information output unit configured to output action information including adjustment information of the combination of coefficients included in the state information, to the servo control device; a reward output unit configured to output a reward value in reinforcement learning based on the position error included in the state information; and a value function updating unit configured to update an action value function on the basis of the reward value output by the reward output unit, the state information, and the action information.

A machine learning device performs machine learning with respect to a servo control device including a velocity feedforward calculation unit. The machine learning device comprises: a state information acquisition unit configured to acquire from the servo control device, state information including at least position error, and combination of coefficients of a transfer function of the velocity feedforward calculation unit; an action information output unit configured to output action information including adjustment information of the combination of coefficients included in the state information, to the servo control device; a reward output unit configured to output a reward value in reinforcement learning based on the position error included in the state information; and a value function updating unit configured to update an action value function on the basis of the reward value output by the reward output unit, the state information, and the action information.