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Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 31-775
Full Name: Thanatchai Kulworawanichpong
Position: Assistant Professor
Age: ON
Sex: Male
Address: 111 University Avenue, Suranaeee University of Technology, Nakhon Ratchasima
Country: THAILAND
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E-mail address: thanatchai@gmail.com
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Title of the Paper: Voltage-dependent Parameter Refinement for Single-phase Induction Motors using Genetic Algorithms
Authors as they appear in the Paper: N. Naew-Ngern-Dee, T. Kulworawanichpong
Email addresses of all the authors: thanatchai@gmail.com
Number of paper pages: 10
Abstract: This paper presents a genetic-based approach to correct the parameters for single-phase induction motors in various supply voltage levels. From conventional tests, electrical (resistances and inductances) and mechanical (moment of inertia and damping coefficient) parameters of the stator and the rotor can be estimated. The set of obtained parameters is able to apply for steady-state performance analyses. In transient states, motor responses generated by these parameters are not met the condition of acceptable accuracy. By some efficient search method incorporate with experimental data, the obtained parameters can be refined to yield the best curve fitting in both transient and steady-state responses. A 0.37-kW, 220 V, 50 Hz single-phase induction motor was used for test to verify the effectiveness of the proposed algorithm. Furthermore, with six different motor supply voltages, voltage-dependent parameters of single-phase induction motors can be established. As a !
result, the voltage-dependent parameters of the induction motors can be satisfactorily improved to represent the motor dynamic in various supply voltages.
Keywords: Single-phase induction motor, Space-phasor model, Voltage-dependent parameter, Genetic algorithm, Retardation test, blocked-rotor test, No-load test
EXTENSION of the file: .doc
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