Servo adjustment system

Abstract

To provide a servo adjustment device that can automatically adjust servos with high precision and in a short time without requiring additional devices. [Solution] A servo adjustment system 1 for adjusting control parameter setting information of a servo motor controlled by a control device of an industrial machine, comprising: a servo motor model 30 that virtualizes the operation of the servo motor; a virtual control device 20 that virtually controls the servo motor model 30 by executing an evaluation program based on the control parameter setting information; and a servo adjustment device 10 that determines the control parameter setting information based on virtual feedback information obtained by executing the evaluation program multiple times based on different control parameter setting information in the virtual control device 20.

Claims

[Claim 1] A servo adjustment system that adjusts the control parameter setting information of a servo motor controlled by a control device of industrial machinery, A servo motor model that virtualizes the operation of the aforementioned servo motor, A virtual control device that virtually controls the servo motor model by executing an evaluation program based on the control parameter setting information, A servo adjustment system comprising: a servo adjustment device that determines the control parameter setting information based on virtual feedback information obtained by executing the evaluation program multiple times based on different control parameter setting information in the virtual control device. [Claim 2] The aforementioned industrial machine is further provided with a virtualized controlled model, The servo adjustment system according to claim 1, wherein the servo adjustment device acquires the virtual feedback information by having the servo motor model, which is virtually controlled by the virtual control device, drive the model to be controlled. [Claim 3] The system further comprises a machine learning device that uses the virtual feedback information to learn the control parameter setting information, The servo adjustment system according to claim 1 or 2, wherein the servo adjustment device determines the control parameter setting information based on the learning results of the machine learning device. [Claim 4] The system comprises multiple virtual environments, each having the aforementioned virtual control device and at least one of the servo motor models. The servo adjustment device has multiple environment management units that manage the control parameter setting information applied to the multiple virtual environments, The servo adjustment system according to claim 3, wherein the machine learning device uses the virtual feedback information obtained from the plurality of virtual environments to perform machine learning on the control parameter setting information.

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