System Identification for AC Servo Motor and Dynamometer using ARX Model and NNARX Model

Sarun Umpavan, Seelawat Chankaew, Waree Kongprawechnon and Teera Phatrapornnant

School of Information, Computer and Communication Technology (ICT), Sirindhorn International Institute of Tehnology, Thammasat University, P.O.Box22, Thammasat-Rangsit Post Office Pathum Thani 12121, Thailand


Ac servo motors are used in many applications requiring rapid and accurate response characteristics. Dynamometer is a device for measuring the power that is produced by engine or motor. The dynamometer measuring control system is uncertainty due to variational of loads under test. Due to the fact that there are disturbance and uncertainty in real control system, sytem identification is an alternative method to resolve those problem. In this study ARX model and NNARX model are employed to identify the model of AC servo motor and dynamometer. The performances of these two methods will be compared.

Keywords: System identification, ARX model, Neural network and NNARX model.

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