A MODEL REFERENCE ADAPTIVE SYSTEM FOR ONLINE ROTOR PARAMETER ESTIMATION OF INDUCTION MOTORS
Induction motors are currently the workhorse of industry due to its simplicity, robustness, and relatively low cost. Many applications in the industry utilize induction motor as the driver, such as pumps, fans, compressors, conveyors, and many more. Consequently, the energy portion of induction m...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/56524 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Induction motors are currently the workhorse of industry due to its simplicity,
robustness, and relatively low cost. Many applications in the industry utilize
induction motor as the driver, such as pumps, fans, compressors, conveyors, and
many more. Consequently, the energy portion of induction motors is relatively large
among the total energy required in industrial process. Performance degradation of
induction motors will significantly affect the total consumed energy including
losses. To assess the motor induction performance, accurate parameters
determination is required. Using the conventional parameter determination methods
such as no-load and short-circuit tests, the induction motor must be turned-off and
removed from the plant. This approach is undesirable due to loss of productivity
time imposed. Moreover, the operational condition is different between the
conventional no-load and short-circuit test and the real loaded operation of
induction motors which will affect the accuracy of the actual parameter values.
In this paper, a new method for estimating induction motor rotor parameters during
loaded operation is proposed. The proposed method is based on a model reference
adaptive system, where Newton-Rhapson algorithm is utilized as the adaptive
mechanism process. In the proposed method, the estimated rotor active and reactive
powers will be compared to the measured values to determine the actual values.
The proposed model will automatically adapt the rotor parameters if mismatch
between actual and estimation powers is existed. The actual induction motor rotor
parameters can be concluded after the mismatch between estimated and actual
powers is below the designated accuracy threshold. Several cases are experimented
to verify the proposed method. The proposed method is successfully estimating the
actual induction motor rotor parameters under various loading conditions. |
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