Publication: An intelligent machine condition monitoring model for servo systems
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Date
2022-01-01
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Abstract
The installation of industrial servo systems and the
determination of control parameters are limited to the skills and
knowledge of the commissioner. In addition, commissioned
systems are often not re-optimized if environmental influences or
loads change. The goal of this research is to create an artificial
neural network (ANN) model for servo systems that will keep the
servo system's proportional, integral, and derivative (PID)
parameters working optimally. For this process, a machine
condition monitoring algorithm developed with the ANN
technique, which uses the data such as actual current, torque,
power, position to be obtained from the servo system on an
industrial controller, for the control and rearrangement of the
parameters.
Description
Keywords
Servo System, Artificial Neural Network, PLC, ProfiNET
Citation
MUTLU H., AKÜNER M. C., AKGÜN G., "An Intelligent Machine Condition Monitoring Model for Servo Systems", Balkan Journal of Electrical and Computer Engineering, cilt.10, sa.1, ss.23-29, 2022