Near real time system identification of servo systems using frequency domain analysis

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2022-2-10

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Geyik, Emre

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Servo systems control the rotation angle or displacement of the machinery in order to follow reference input commands within required error limits. A typical servo system includes rotating or translating inertia, coupler elements, driver motor and feedback sensor. Mechanical characteristics of a servo system have considerable importance as to satisfy desired performance of the system. In this thesis, a practical method to monitor mechanical characteristics of a servo drive is suggested. Invariance of system parameters is required for classical servo systems to operate within their respective design conditions. However, as operational time increases, systems are subjected to changes in their mechanical properties. By implementing the methods derived in this thesis, such changes can be tracked and addressed before severe system failures occur. In order to realize the aforementioned monitoring ability, a theoretical model is established and related equations are derived. Then the study is extended to experimental verification of the suggested method. It is shown that the theoretical model agrees with test results.

Subject Keywords

Servo system identification, Frequency domain analysis, Natural frequency analysis, Real time system monitoring, Predictive maintenance

URI

https://hdl.handle.net/11511/96292

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

E. Geyik, “Near real time system identification of servo systems using frequency domain analysis,” M.S. - Master of Science, Middle East Technical University, 2022.