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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Bibliographic Details
Main Author: Wiranata, Ikhwan
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
Description
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.