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The Identification of Load-side Inertia for Magnetic Drive Trains

conference contribution
posted on 2024-03-13, 12:37 authored by Xiaowen Liao, Chris BinghamChris Bingham, Tim SmithTim Smith

The paper presents an identification method based on adaptive frequency tracking for the realtime identification of load-side inertia of magnetic drive trains encompassing variable torsional stiffness. Firstly, through analyzing the transient response of motor-side speed it is shown that the response incorporates a ramp component and a damped sinusoidal signal with a frequency approximately equals to the resonant frequency. Subsequently, a second order bandpass filter is designed to remove the ramp component and combined with an adaptive notch filter (ANF) forms a fourth order ANF. With the resonant frequency identified by the ANF, the moment of load-side inertia is then estimated. Finally, a numerical implementation method based on automatically calculating the damping ratio along with bandwidth, gain, and sampling frequency, is presented, and an iterative identification procedure is provided to solve problems associated with the limited duration of oscillations existing in the step response. Results show that the proposed methodology identifies the moment of load-side inertia with an accuracy of 3.3%.

History

School affiliated with

  • School of Engineering (Research Outputs)

ISBN

978-1-7281-7616-1

Date Submitted

2021-10-05

Date Accepted

2021-02-05

Date of First Publication

2021-04-08

Date of Final Publication

2021-04-08

Event Name

2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis

Date Document First Uploaded

2021-09-13

ePrints ID

46465

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